Careers/Jobs

Following is a list of available positions announced in the most recent issue of E-Letter. Listings in previous issues of Eletter can be found here.



7. Positions

7.1. PhD: Illinois Institute of Technology, USA
Contributed by: Baisravan HomChaudhuri, bhomchaudhuri@iit.edu

Ph.D. Research Assistant Positions at Illinois Institute of Technology- Chicago in FALL 2018

One research assistant position available within the Dynamic Systems and Control research area of Mechanical Materials and Aerospace Engineering department of Illinois Tech’s Armour College of Engineering. The student will work under Dr. Baisravan HomChaudhuri in the general research area of optimal control, (stochastic) model predictive control, stochastic systems, semi-autonomous systems control, and their applications in robotics and cyber physical systems (e.g., connected vehicle systems, power systems).

Successful candidates would have a strong background in optimization and controls, model predictive control, and probability theory. Candidates with knowledge and background in stochastic model predictive control, and/or system verification methods would be preferred. Applicant to this position should already have completed (or will soon complete) a Master’s degree in systems and controls.

Expected Start Date: Fall 2018.

Requirement:
We are seeking an outstanding and enthusiastic researcher who has the expertise and/or interest in one or more of the following areas:
Optimization, optimal control, model prediction control
Probability theory, stochastic optimal control
System verification methods
Robotics, automotive engineering, and connected vehicles

For more information about this position, contact Dr. Baisravan HomChaudhuri at bhomchaudhuri@iit.edu. Interested candidates can email their CV to bhomchaudhuri@iit.edu.

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7.2. PhD: Texas A&M University, USA
Contributed by: John Valasek, valasek@tamu.edu

The Vehicle Systems & Control Laboratory (VSCL) https://vscl.tamu.edu/ in the Top 10 ranked aerospace engineering department at Texas A&M University is seeking talented and highly motivated graduate researchers to conduct cutting edge basic and applied research on the dynamics and control of cyber-physical air, space and ground systems.

VSCL has a foundation of “People, Innovation, Excellence” with a rich 20+ year history of high quality research that is funded by federal agencies and laboratories, state governments, and industry. The theory-computation-experiment paradigm is embraced, such that theory is transitioned to computation and implemented into proof-of-concept hardware realization.

Ph.D. students are especially encouraged to apply. Please note that U.S. Citizenship is required for one of the positions. Students with degrees in aerospace engineering , engineering physics, computer science, electrical engineering, and mechanical engineering, are particularly encouraged to apply. The strength of VSCL and its research & development breakthroughs come from its diversity in educational, cultural, and professional backgrounds. This diversity promotes new perspectives on problem solving and develops students to lead diverse teams. The start date for all positions is Fall 2018.

There are multiple openings currently available and students are sought to work in one or more of three broad areas of research listed below that are currently being conducted:

1. Autonomous nonlinear control and nonlinear multiple time-scale control. This is 6.1 Basic Research. A. [U.S. citizenship required for project A] Nonlinear adaptive control (fault tolerant, state constrained, sampled-data) of hypersonic air vehicles. B. Nonlinear Estimation and control of uncertain nonlinear multiple time-scale systems.

2. Computational intelligence for human / autonomous multi-agent cooperative control. This is 6.1 Basic Research & 6.2 Applied Research. A. Human-in-the-loop Reinforcement Learning to train autonomous agents to augment human performance. B. Modular heterogeneous multi-agent control frameworks.

3. Vision based sensors and navigation systems. This is 6.1 Basic Research & 6.2 Applied Research. A. Computer vision and control for automated tracking systems, autonomous air refueling, rendezvous and docking systems. B. Integration of high performance sensors with autonomous controllers for large scale imaging systems.

Interested students should email a CV and a description of their research experience, skills, interests, and the name of your current advisor if you have one, to Dr. John Valasek, Director, Vehicle Systems & Control Laboratory: valasek@tamu.edu.

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7.3. PhD: Tel Aviv University, Israel
Contributed by: Brighitte Shalom, brighitte@tauex.tau.ac.il

2 PhD positions in Modelling & Control at Tel Aviv University

The School of Electrical Engineering at Tel Aviv University in Israel is looking for 2 PhD students, employed as Early Stage Researchers (ESR) in system modelling and control, with emphasis on distributed parameter systems and internal model based control. These students will work in Prof. George Weiss’ group.

These positions are part the 15 positions available within the ConFlex project, sponsored by the EU under the Marie Sklodowska-Curie actions in the H2020-MSCA-ITN Program (Marie Skłodowska-Curie Grant Agreement Number 765579).
The ConFlex consortium will train the next generation of young researchers on the control of flexible structures and fluid-structure interactions, using and also contributing to the latest advances in control theory and energy-based modelling.

ConFlex consortium academics are located in Israel (Tel Aviv University), UK (University of Warwick, Imperial College, University of Exeter), France (Université de Franche-Comté, Université de Bordeaux), Spain (Universidad Autónoma de Madrid), Germany (Bergische Universität Wuppertal, Friedrich-Alexander University Erlangen Nürnberg) and The Netherlands (Universiteit Twente). In addition, we have four partner universities in Canada, China, USA and France and 11 prestigious industry partners who will be hosting the ESRs for secondments, mostly from Europe.

The successful candidate will receive a 3 (three) year financial package, in accordance with the European Commission rules for ESRs, consisting of:
1. Monthly living allowance (gross, before applicable taxes) of €2,450
2. Monthly mobility allowance
3. Monthly family allowance (where applicable)
4. Visits to partner universities and/or industrial partners will be covered separately by the grant
5. Three (3) secondments with project partners within the European Training Network, out of which one in industry
6. An excellent working atmosphere within an international team of researchers in an inspiring multidisciplinary environment.

Applicants have to hold a MSc in Control Engineering, Electrical Engineering, Applied Mathematics or closely related fields and have basic knowledge in control theory and partial differential equations.

Applicants must comply with the European Commission, Horizon 2020 Guidelines mobility rules. In particular, they must not have performed their main activity in Israel for more than 12 months of the 36 months preceding the position.

Early-Stage Researchers must be in the first four years (full-time equivalent) of their research careers, starting at the date of obtaining the degree which would formally entitle them to embark on a doctorate.

Application procedure: send your CV (pdf format), list of grades, certificates, list of referees and motivation letter to Prof. George Weiss, gweiss@eng.tau.ac.il, with Cc to Brighitte Shalom, brighitte@tauex.tau.ac.il .

The selected candidates will be invited for an interview, via Skype or phone. Questions can be addressed to: Prof. George Weiss, gweiss@eng.tau.ac.il .

Tentative starting date: April 1, 2018.

About Tel Aviv University (TAU):
TAU fosters and encourages the spirit of research, innovation and entrepreneurship among its students, researchers and alumni.
• TAU is a Reuters “Top 100 Innovation University”.
• TAU ranks 9th among the top 10 schools globally for producing VC-backed founders of companies. TAU is the only non-U.S. university to make the top 10 cut.
• TAU ranks 8th in the world for graduates that established “unicorn” companies worth $1 billion or more (Sage 2017). TAU is the only non-U.S. university to make the top 10.
• TAU ranks 26th in the world for citation impact per faculty member in the 2017 QS rankings. According to "US World News Report," citations per faculty are the best understood and most widely accepted measure of research strength and faculty productivity at a university.
• TAU is in 75th place in the world by the number of research publications and the number of publications in the most prestigious journals according to the 2017 Leiden Ranking, another objective measure of research strength and standing.
• TAU ranks 5th in winning European Research Council (ERC) grants among 172 leading European research institutions.

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7.4. PhD: KU Leuven, Belgium
Contributed by: Wilm Decré, wilm.decre@kuleuven.be

Fully funded PhD position on B-spline based embedded model predictive control at KU Leuven, Belgium

The MECO team of the KU Leuven, Department of Mechanical Engineering, focusses on the identification, analysis and control of mechatronic systems such as autonomous guided vehicles, robots, and machine tools. It combines theoretical innovations with experimental validations on lab-scale as well as industrial setups. The theoretical research benefits from the team’s expertise on numerical optimization, while MECO’s practical knowhow and industrial collaboration are supported by its participation in Flanders Make - a strategic research center for the manufacturing industry.

Group website: www.mech.kuleuven.be/meco

PROJECT

You will develop cutting-edge optimization algorithms tailored to MPC of mechatronic systems such as robots, electric cars, and CNC production machines.The successful application of MPC to these system hinges upon an effective problem formulation combined with an efficient and robust optimization algorithm. To meet these requirements you will combine and extend recent developments within the MECO research team on spline-based motion planning and numerical optimal control. MECO’s current optimal motion planning research exploits the properties of B-splines to transform the problem into a small-scale nonlinear programming problem (check out https://github.com/meco-group/omg-tools to get a flavor). Yet it lacks tailored optimization algorithms exploiting the resulting problem structure. At the same time, MECO does have expertise in tailored numerical optimization for the more classical direct optimal control approaches. The project will involve theoretical innovations to devise effective spline-based MPC approaches based on MECO’s recent results, as well as efficient numerical implementations of the algorithms in C/C++, and experimental validations on mechatronic systems.

PROFILE

Ideal candidates hold a Master’s degree in engineering, computer science, or applied mathematics. Successful candidates have typically ranked at or near the top of their classes, have a solid background in optimization and control, relevant computer programming skills, and enthusiasm for scientific research. Team player mentality, independence, and problem solving attitude are expected, and proficiency in English is a requirement.

Applicants whose mother tongue is neither Dutch nor English must present an official language test report. The acceptable tests are TOEFL, IELTS, and Cambridge Certificate in Advanced English (CAE) or Cambridge Certificate of Proficiency in English (CPE).

Required minimum scores are:
TOEFL: 600 (paper-based test), 100 (internet-based test)
IELTS: 7 (only Academic IELTS test accepted)
CAE/CPE: grade B or A

OFFER
A fully funded PhD position in an international context for four years at the KU Leuven: a top European university and a hub for interdisciplinary research in the fields of systems, control and optimization. You will be embedded in the MECO research team of the Department of Mechanical Engineering. The doctoral candidate will work in world-class facilities with highly qualified experts, and will benefit from the training scheme developed based on the expertise of academic and industrial partners. A start date in the course of 2018 is to be agreed upon.

INTERESTED?
Please use the online application tool to submit your application.

Include:
• an academic CV with photo,
• a Pdf of your diplomas and transcript of course work and grades,
• statement of research interests and career goals (max. 2 pages),
• sample of technical writing (publication or thesis),
• contact details of at least two referees,
• proof of English language proficiency test results.

Deadline: April 30, 2018!

For more information, send an e-mail to wilm.decre@kuleuven.be. Subject of your email should be: “B-spline MPC PhD application”.

You can apply for this job no later than April 30, 2018 via the online application tool through https://icts.kuleuven.be/apps/jobsite/#/vacatures/54503524.

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7.5. PhD: KU Leuven, Belgium
Contributed by: Wilm Decré, wilm.decre@kuleuven.be

Fully funded PhD position on multi-system learning control for interconnected mechatronic systems at KU Leuven, Belgium

The MECO team of the KU Leuven, Department of Mechanical Engineering, focusses on identification, analysis and optimal control of mechatronic systems such as autonomous guided vehicles, robots, and machine tools. It combines theoretical contributions (development of design methodologies) with experimental knowhow (implementation and experimental validation on lab-scale as well as industrial setups). The theoretical research benefits from the group’s expertise on numerical optimization, especially convex optimization. MECO is member of Flanders Make - the strategic research centre for the manufacturing industry.

Group website: www.mech.kuleuven.be/meco

PROJECT
You will develop multi-system learning techniques for interconnected mechatronic systems. Learning techniques are used to improve the performance of systems that execute the same or similar operations over and over again. This performance improvement is realized gradually by exploiting the repetitive nature of these operations. Learning techniques are already finding their way to single systems in the mechatronic industry. However, they often suffer from long convergence periods and non-monotonic improving behavior. The new trend of interconnecting mechatronic systems (directly or through the cloud) offers new ways to improve these learning algorithms: instead of learning per machine, learning can be done for multiple systems in parallel by sharing information, resulting in an overall learning algorithm which is more efficient (shorter convergence periods) and more effective (a better performance for all systems). The project will involve theoretical innovations as well as implementations of the developed learning techniques and experimental validations. Several experimental demonstration cases are available for this research, e.g. three bar-linkage setups, a set of twenty similar mobile platforms, …

PROFILE

Ideal candidates hold a Master’s degree in engineering (mechanical, control ...). Successful candidates have typically ranked at or near the top of their classes, have a solid background in systems, control, and numerical optimization, relevant computer programming skills, a strong interest and experience in real-world applications, and enthusiasm for scientific research. Team player mentality, independence, and problem solving attitude are expected, and proficiency in English is a requirement.

Applicants whose mother tongue is neither Dutch nor English must present an official language test report. The acceptable tests are TOEFL, IELTS, and Cambridge Certificate in Advanced English (CAE) or Cambridge Certificate of Proficiency in English (CPE).

Required minimum scores are:
TOEFL: 600 (paper-based test), 100 (internet-based test)
IELTS: 7 (only Academic IELTS test accepted)
CAE/CPE: grade B or A

OFFER
A fully funded PhD position in an international context for four years at the KU Leuven: a top European university and a hub for interdisciplinary research in the fields of systems, control and optimization. You will be embedded in the MECO research team of the Department of Mechanical Engineering. The doctoral candidate will work in world-class facilities with highly qualified experts, and will benefit from the training scheme developed based on the expertise of academic and industrial partners. A start date in the course of 2018 is to be agreed upon.

INTERESTED?
Please use the online application tool to submit your application.

Include:
• an academic CV with photo,
• a Pdf of your diplomas and transcript of course work and grades,
• statement of research interests and career goals (max. 2 pages),
• sample of technical writing (publication or thesis),
• contact details of at least two referees,
• proof of English language proficiency test results.

Deadline: April 30, 2018!

For more information, send an e-mail to wilm.decre@kuleuven.be. Subject of your email should be: “Multi-systems learning PhD application”.

You can apply for this job no later than April 30, 2018 via the online application tool through https://icts.kuleuven.be/apps/jobsite/#/vacatures/54503999.

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7.6. PhD: KU Leuven, Belgium
Contributed by: Panos Patrinos, panos.patrinos@esat.kuleuven.be

Fully funded PhD position at the Department of Electrical Engineering (ESAT), KU Leuven:
Theory, algorithms and applications for structured, nonconvex optimization

The STADIUS Center for Dynamical Systems, Signal Processing and Data Analytics, Prof. Panos Patrinos, at the Department of Electrical Engineering (ESAT), KU Leuven is offering a fully funded, 4-year PhD position on the topic of the theory and algorithms for structured nonconvex optimization. KU Leuven is among the top European universities (ranked first in Times Higher Education list of most innovative universities in Europe) and a hub for interdisciplinary research in the field of optimization. The PhD position is in the context of the research project “A unifying algorithmic framework for structured optimization”, funded by the Research Foundation - Flanders (FWO) for advancing fundamental scientific research.

Project summary: The objective of the project is to develop and implement a unifying methodological and algorithmic framework for structured nonsmooth and nonconvex optimization, targeting problems resulting from various application domains, such as control and machine learning. The project will build upon ongoing, promising research of the group that establishes a connection between nonsmooth and smooth optimization, leading to new interpretations, insights, nonconvex extensions and improved versions of popular algorithms such as ADMM. The candidate will contribute in further exploring this direction by conducting fundamental research in algorithmic optimization and/or developing optimization software (in Julia, Python, C) to solve real-world problems in control and/or machine learning, such as embedded model predictive control for autonomous driving and deep learning.

Candidate requirements: Applicants should have a Master's degree from a good-quality university in mathematics, engineering, computer science or a related field. They should possess a strong background and interest in mathematics and, ideally, numerical optimization. They should have excellent analytical and problem solving skills and, preferably, well-developed programming skills. Depending on their interest, background and skills the focus of the PhD project can be either on fundamental theory and algorithmic development or software development and applications related to either control or machine learning. Applicants should also have good English communication skills.

Application procedure: To apply send email to panos.patrinos@esat.kuleuven.be with subject “PhD application: structured optimization”, attaching an academic CV, a pdf of your diplomas and transcript of course work and grades, a statement of research interests and career goals (1 page max.), sample of technical writing (publication or thesis) and contact details of at least two referees.

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7.7. PhD: KU Leuven, Belgium
Contributed by: Panos Patrinos, panos.patrinos@esat.kuleuven.be

Fully funded PhD position at the Department of Electrical Engineering (ESAT), KU Leuven:
Risk-Averse Learning and Model Predictive Control for Autonomous Driving

The STADIUS Center for Dynamical Systems, Signal Processing and Data Analytics, Prof. Panos Patrinos, at the Department of Electrical Engineering (ESAT), KU Leuven is offering a fully funded, 4-year PhD position on the topic of real-time risk-averse learning model predictive control for autonomous vehicles. KU Leuven is among the top European universities (ranked first in Times Higher Education list of most innovative universities in Europe) and a hub for interdisciplinary research in the field of optimization. The project will be carried out in collaboration with a leading automotive company.

Project summary: The project concerns the development of theory and methodologies combining data-based learning with Model Predictive Control (MPC) in the context of autonomous vehicle motion control. The new methods will be capable of dealing with high-effect low-probability (HELP) events such as unexpected changes in traffic, traction and road conditions and unforeseen movements of other vehicles and pedestrians. To this end, the candidate will build upon the recently developed risk-averse MPC framework within our group, that accounts for the uncertainty within uncertainty estimates, being more resilient than stochastic MPC and less conservative than robust MPC. The overall goal is to develop MPC strategies that are able to learn from data in real time, to continuously improve performance and safety guarantees in the highly uncertain context of autonomous driving will be developed.

Candidate requirements: Applicants should have a Master's degree from a good-quality university in engineering or a related field. They should possess a strong background and interest in systems & control and, ideally, numerical optimization. They should have well-developed programming and excellent analytical and problem solving skills. Applicants should also have good English communication skills.

Application procedure: To apply send email to panos.patrinos@esat.kuleuven.be with subject “PhD application: risk-averse MPC”, attaching an academic CV, a pdf of your diplomas and transcript of course work and grades, a statement of research interests and career goals (1 page max.), sample of technical writing (publication or thesis) and contact details of at least two referees.

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7.8. PhD: Vrije Universiteit Brussel, Belgium
Contributed by: Rik Pintelon, Rik.Pintelon@vub.ac.be

Two open PhD positions at the department ELEC of the VUB (Vrije Universiteit Brussel, Belgium)

Within the framework of the FWO research project G.0052.18N we are looking for two enthusiastic PhD researchers. The project starts on the 1st of January 2018 and consists of two 4 years PhD scholarships within the time span 2018-2023.

THE RESEARCH ENVIRONMENT
The FWO research project fits within the main research activities of the department ELEC. The department ELEC has more than 35 years of experience in Measurement and modelling of dynamical systems, Developing fundamentally sound system identification tools, and Applying these identification tools to engineering problems in need of models
 
System identification is the engineering discipline which aims at constructing mathematical models of physical systems, based on measured data. The purpose of these estimated models can be very broad: to gain physical insights into the system, to build a robust controller, to detect anomalies, to compensate for unwanted behaviour, to predict future outcomes, etc...

ABSTRACT OF THE FWO RESEARCH PROJECT
In depth understanding of the complex dynamics of physical processes is the first step towards prediction (e.g. weather forecasting), control (e.g. driverless cars), and (computer aided) design (e.g. electronic circuits, drugs). These complex dynamics are often described by nonlinear differential equations with a priori unknown dynamic order, unknown parameters, and unknown nonlinear structure. The major objective of this project is to extract (estimate) the unknown/missing information from (well-designed) experiments. Therefore, a frequency domain system identification framework for estimating nonlinear differential equations from noisy input – noisy output observations will be developed that requires as little user interaction as possible. Such a nonlinear modelling framework is currently not available, while it has potential impact on very diverse scientific disciplines ranging from bio-mechanics, nonlinear modal analysis, to the characterization of material properties and growth modelling in economics.

PROFILE
You are a talented electrical or mechanical engineer at Master level. You have the intention to perform scientific research, in view of obtaining a PhD degree. You can work independently, and collaborate in a team on challenging problems. You are eager to learn, have good didactical skills and enjoy sharing your knowledge with students and peers. You are fluent in English, and a good knowledge of Dutch is an advantage.

PREREQUISITES
Good basic knowledge on the following topics are required
System identification
System and control theory
Signal processing
Statistics
Linear algebra, complex analysis, Fourier and Laplace transforms
Hands on experience with Matlab
Good communication skills
 
CONTACT
Interested candidates should send a detailed CV along with a motivation letter to
John Lataire (John.Lataire@vub.be)  and Rik Pintelon (Rik.Pintelon@vub.be)

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7.9. PhD: Eindhoven University of Technology, The Netherlands
Contributed by: Natal van Riel, n.a.w.v.riel@tue.nl

Eindhoven University of Technology (TU/e) has a vacancy for a PhD student “Metabolic resilience in overweight individuals" in the research group of Prof. Natal van Riel in the Computational Biology group at the Department of Biomedical Engineering.

We are looking for high-level candidates with an MSc degree in engineering and life sciences (biomedical engineering, biotechnology, bioengineering) with specialization in computational modelling, computational biology, dynamical system theory, or equivalent. He or she should be interested in quantitative methods, modelling and data integration with affinity for human metabolism and its regulation.

For further information and to apply: https://jobs.tue.nl/en/vacancy/phd-student-“metabolic-resilience-in-ov...

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7.10. PhD: Delft University of Technology, The Netherlands
Contributed by: Sergio Grammatico, s.grammatico@tudelft.nl

PhD position: Cooperative Network Games.

Delft Center for Systems and Control (DCSC), Delft University of Technology, The Netherlands.

We are looking for a talented candidate with an M.Sc. degree (or close to completion) in Systems and Control, or Applied Mathematics, Electrical or Mechanical Engineering, or related field, with theoretical background and interest in System Theory, Automatic Control, Optimization, Game Theory, and with good command of the English language (knowledge of Dutch is not required).

Project description: The candidate will conduct multi-disciplinary, algorithmic, research on complex multi-agent systems characterized by the presence of: (i) mixed cooperative and noncooperative agents; (ii) high volume of historic data (big data) and forecast on the uncertain variables; (iii) nonlinear system dynamics. The key challenges are to extract the knowledge hidden in the historic data, e.g. via statistical learning, and to coordinate the states and the decisions of the agents to an efficient equilibrium solution, e.g. via the principles of the sharing economy. With this aim, distributed statistical learning shall be developed for cooperative game theory. The main application area is distributed, peer-to-peer, energy trading in smart power grids.

The PhD position is in the context of the research project “Enabling peer-to-peer energy trading by leveraging prosumer analytics” (P2P-TALES), funded by the Netherlands Organization for Scientific Research (NWO) as collaborative project on Energy Systems Integration and Big Data (ESI-BIDA):
https://www.nwo.nl/en/research-and-results/research-projects/i/45/30545.....

Conditions of employment: The appointment will be for 4 years. The PhD student will participate in the training and research activities of the TU Delft Graduate School and of the Dutch Institute of Systems and Control (DISC). As an employee of TU Delft, the PhD student will receive a competitive salary in accordance with the Collective Labour Agreement for Dutch Universities (CAO), from 2.2k EUR/month (gross, 1st year) to 2.8k EUR/month (gross, 4th year), possibly from 1.7k EUR/month (after taxes, 1st year) to 2.0k EUR/month (after taxes, 4th year), plus holiday allowance (8% of gross annual income) and end-of-year allowance (8.3% of gross annual income), travel budget, secondary benefits, discounts for health insurance and sport membership. Assistance with accommodation can be arranged.

Applications shall include the following documents:
• curriculum vitae;
• statement of motivation and research interests (up to one page);
• transcripts of all exams taken and obtained degrees (in English);
• names and contact information of up to three references (e.g. project/thesis supervisors);
• up to two research-oriented documents (e.g. thesis, conference/journal publication).

Applications or inquires shall be emailed to prof. Sergio Grammatico (s.grammatico@tudelft.nl).

The call for applications will remain open until the ideal candidate is found. The starting date is flexible, but ideally would be March/April/May 2018.

More information: s.grammatico@tudelft.nl, https://sites.google.com/site/grammaticosergio.

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7.11. PhD: Delft University of Technology, The Netherlands
Contributed by: Sergio Grammatico, s.grammatico@tudelft.nl

PostDoc position: Game theory and Optimization for Automated Driving.
Delft Center for Systems and Control (DCSC), Delft University of Technology, The Netherlands.

We are looking for a talented postdoctoral research fellow with a Ph.D. degree (or close to completion) in Systems and Control, or Operations Research, or related field, with background and interest in System Theory, Automatic Control, Optimization, Game Theory, and with good command of the English language (knowledge of Dutch is not required). Expertise in mixed-integer optimization is appreciated.

Project description: The research fellow will conduct fundamental and algorithmic research on complex multi-agent systems with application to automated driving in highways. The key challenge is to design distributed control algorithms with mixed-integer decision variables for noncooperative, multi-agent and dynamic environments, such as semi-automated highways. With this aim, game-theoretic and optimization-based distributed control shall be developed.

Conditions of employment: The appointment will be for 1 year, with the possibility for extension. As an employee of TU Delft, the research fellow will receive a competitive salary in accordance with the Collective Labour Agreement for Dutch Universities (CAO) of about 2.9k EUR/month gross, possibly about 2.4k EUR/month after taxes, plus holiday allowance (8% of gross annual income) and end-of-year allowance (8.3% of gross annual income), secondary benefits, discounts for health insurance and sport membership. Assistance with accommodation can be arranged.

Applications shall include the following documents:
- curriculum vitae;
- statement of motivation and research interests (up to one page);
- transcripts of all exams taken and obtained degrees (in English);
- names and contact information of up to three references (e.g. project/thesis supervisors);
- up to three research-oriented documents (e.g. thesis, conference/journal publications).

Applications or inquires shall be emailed to prof. Sergio Grammatico (s.grammatico@tudelft.nl).

The call for applications will remain open until the ideal candidate is found. The starting date is flexible.

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7.12. PhD: University of Groningen, The Netherlands
Contributed by: Nima Monshizadeh, n.monshizadeh@rug.nl

PhD position: Analysis and control of dynamical networks
Engineering Technology Institute Groningen (ENTEG), Groningen, The Netherlands.

We are looking for a talented candidate with an M.Sc. degree (or close to completion) in Systems and Control, or Applied Mathematics, Electrical or Mechanical Engineering, or related field, with theoretical background and interest in Mathematics, Control Theory, Automatic Control, Optimization, Game Theory, and with good command of written and verbal English language (knowledge of Dutch is not required).

Project description: The candidate will conduct fundamental research on complex networks with dynamical agents. The interplay between physics of the agents and economic aspects including cost minimization, utility maximization, and competitive games will be investigated. Distributed algorithms steering the network to a desired operating point will be developed, and the robustness of these algorithms to model uncertainties and communication failures will be examined.

Application procedure: Please send your application including a motivation letter, a curriculum vitae, a list of courses with grades, and contact information for two academic references to Dr. Nima Monshizadeh (n.monshizadeh@rug.nl). Please use “PhD18” as the subject of your email.
The deadline for applications is February 28, 2018.

About the Institute and organization:
Since its foundation in 1614, the University of Groningen has enjoyed an international reputation as a dynamic and innovative center of higher education offering high-quality teaching and research. Study and career paths in a wide variety of disciplines encourage currently more than 30,000 students and researchers to develop their individual talents.
According to the ARWU’s ranking of 2017, Automation and Control Engineering at the University of Groningen is number one in the Netherlands, 5th in Europe and 29th worldwide.

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7.13. PhD: Uppsala University, Sweden
Contributed by: Anders Ahlen, anders.ahlen@signal.uu.se

Two PhD student positions in the subject Electrical Engineering with specialization in Signal Processing at the Division of Signals and Systems, Department of Engineering Sciences, The Angstrom Laboratory, Uppsala University, Sweden

Project Description PhD Position 1:
The position will have a focus on signal processing for wireless sensor network applications, such as, for example, monitoring- and control of wireless sensor- and actuator networks, modeling of fading characteristics in complex environments, and development of efficient signal processing algorithms. As a member of cross-disciplinary team, you will contribute to providing solutions for future energy harvesting based wireless sensor- and actuator networks.

Your main responsibility will be to pursue your own doctoral studies. The PhD position is for four years, extendable to a maximum of five years, including departmental duties at a level of at most 20% (typically teaching).

For further details, please refer to http://www.uu.se/en/about-uu/join-us/details/?positionId=187026

Project Description PhD Position 2:
This position focuses on providing signal processing solutions for energy harvesting sensor networks. Modern machine learning techniques will be an important ingredient of the work. As a member of cross-disciplinary team, you will contribute to providing solutions for future energy harvesting wireless sensor networks. Your main responsibility will be to pursue your own doctoral studies. The PhD position is for four years, extendable to a maximum of five years, including departmental duties at a level of at most 20% (typically teaching).

For further details, please refer to http://www.uu.se/en/about-uu/join-us/details/?positionId=186914

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7.14. PhD: Uppsala University, Sweden
Contributed by: Ayca Ozcelikkale, ayca.ozcelikkale@angstrom.uu.se

PhD Position in Signal Processing

Project and Position Description
In recent years, energy harvesting (EH) solutions have become an emerging paradigm for powering up future wireless sensing systems. As such, energy harvesting constitutes a key enabling technology for Internet-of-Things (IoT) applications and Wireless Sensor Networks (WSN) including smart homes and smart factories. This position focuses on providing signal processing solutions for such energy harvesting wireless sensor networks. The position is full-time employment and for four years, extendable to a maximum of five years, including departmental duties at a level of at most 20%.

Requirements
A Bachelor’s or Master’s degree in Electrical Engineering or equivalent with basic skills in signals and systems and signal processing and a will to learn about energy harvesting WSN. It is desirable but not necessary to have some background in wireless communications and/or automatic control. The successful applicant is expected to have a strong collaborative spirit and good communication skills in oral and written English.

Application deadline: 15 February 2018

More information and application instructions:
https://www.uu.se/en/about-uu/join-us/details/?positionId=186914

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7.15. PhD: University of Cyprus, Cyprus
Contributed by: Marios M. Polycarpou, mpolycar@ucy.ac.cy

15 PhD Scholarships at the KIOS Research and Innovation Center of Excellence at the University of Cyprus

The KIOS Research and Innovation Center of Excellence (KIOS CoE) at the University of Cyprus announces 15 full-time PhD student Scholarships. The KIOS Research and Innovation Center of Excellence is the largest research center at the University of Cyprus, and has recently been upgraded to a European Research Center of Excellence through the KIOS CoE Teaming project, with significant funding in excess of 40 million euros over the next 15 years. Currently, the Center employs about 90 researchers, who are supported by externally funded research projects while the vision of the KIOS Center of Excellence is that it will grow to 150-200 researchers by 2022.

KIOS provides an inspiring environment for carrying out top level research in the area of Information and Communication Technologies with emphasis on the Monitoring, Control and Security of Critical Infrastructures including power and energy systems, water networks, transportation networks, telecommunication networks and emergency management and response. The Center instigates interdisciplinary interaction and promotes collaboration between industry, academia and research organizations in high-tech areas of global importance.

Interested candidates should submit the following items online through the link: https://applications.ucy.ac.cy/recruitment

i. Cover letter that specifies their employment availability date
ii. A detailed curriculum vitae in English or in Greek
iii. Copies of transcripts of BSc/MSc degree(s)
iv. Short description of their academic and research experiences (1 page maximum).
v. The names and contact details of at least two University Professors from whom references may be requested

The applications should be submitted as soon as possible, but not later than Wednesday, 28 February 2018, 2:00pm. The evaluation of the applications will begin immediately. For more information please contact the KIOS Center of Excellence, by phone at +357 22893460 or via e-mail at kios@ucy.ac.cy

For more information about these PhD Scholarships, please visit the following website: http://www.kios.ucy.ac.cy/index.php/employment-opportunities.html

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7.16. PhD: University of Poitiers, France
Contributed by: Guillaume MERCERE, guillaume.mercere@univ-poitiers.fr

PhD: University of Poitiers, France
Contributed by: Guillaume Mercère, guillaume.mercere@univ-poitiers.fr, Régis Ouvrard,regis.ouvrard@univ-poitiers.fr, and Thierry Poinot, thierry.poinot@univ-poitiers.fr

A fully funded Ph.D. position is available at at the Laboratory for Computer Science and Automation Systems (LIAS), Poitiers University, France. The appointment will be for 3 years.

DEADLINE FOR THE APPLICATION: Friday, 23rd March 2018!!!

Summary: distributed parameter systems like processes governed by heat diffusion or flow phenomena can be described by partial differential equations (PDE) depending on two or more independent variables (usually time and space). These models contain some unknown (physical) parameters to be determined. Different ways to estimate parameters of distributed parameter systems can be used: direct estimation of the PDE model parameters, transformation of the PDE into a set of ordinary differential equations (ODEs), reduction of the partial differential equation to algebraic equations.

The main objective of this Ph.D. thesis is to develop new tools for PDE model parameter identification. After focusing on existing identification techniques available in the literature with a specific attention to their advantages and drawbacks, the candidate will have to improve solutions developed by our group members until now, i.e., 2D models associated with output-error and equation-error techniques. More specifically, the candidate will focus on the following points:
- implementation of the identification algorithms,
- design of the best system excitation,
- adaptation of the algorithms for non-uniformly sampled data (in time and/or space domain),
- impact of the number of sensors and their spatial distribution on the parameter estimation
- improvement of the methods in the following cases:
- small number of sensors,
- small number of time samples.
The validation of the algorithms will be first performed on simulated data. While the main application field is heat transfer, the Ph.D. candidate will be involved in other academic and industrial projects led by the supervisors. For instance, the newly developed tools should be used on a two-phase system as well for a project dedicated to the population dynamics prediction.

Candidate requirements: applicants should have a Master's degree from a good-quality university in applied mathematics, engineering, computer science or a related field. They should possess a strong background and interest in mathematics and, ideally, in identification and advanced control. They should have excellent analytical and problem-solving skills and, preferably, well-developed programming skills. Applicants should have a good knowledge of Matlab. The candidate should have excellent oral and written communication skills in English.

Application procedure: To apply for this Ph.D. position, send email to guillaume.mercere@univ-poitiers.fr, regis.ouvrard@univ-poitiers.fr and thierry.poinot@univ-poitiers.fr with subject “PhD application: identification of systems governed by Partial Differential Equation - Application to heat transfers”, attaching an academic CV, a cover letter, a pdf of your diplomas and transcript of course work and grades, a certificate of proficiency in English, and any other document deemed necessary by the candidate which can enrich the application.

DEADLINE FOR THE APPLICATION: Friday, 23rd March 2018!!!

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7.17. PhD: Slovak University of Technology in Bratislava, Slovakia
Contributed by: Radoslav Paulen, radoslav.paulen@stuba.sk

The Institute of Information Engineering, Automation and Mathematics at Slovak University of Technology in Bratislava (http://uiam.sk) has vacancies for two PhD positions:

1. Guaranteed Parameter Estimation (advisor: Dr. Radoslav Paulen)

Guaranteed parameter estimation is a non-asymptotic estimation technique, which, unlike statistical estimation techniques (e.g. least-squares estimation), does not require an assumption on the normal distribution of the noise present in the measured data. This makes it very interesting for practice. This project investigates the possibilities of advancing the present techniques of guaranteed parameter and state estimation to tackle the problems of model validation, handling structural model mismatch and optimal design of experiments. Use of guaranteed estimation for the optimal adaptive control of the dynamic systems will be addressed further. The project of the thesis should be finished with successful demonstration of the developed techniques on a laboratory plant.

2. Predictive Control based on Robust Soft-sensors (advisor: Dr. Radoslav Paulen)

Many process variables, such as chemical compositions of material streams or levels of degradation of the equipment, cannot be measured directly. Despite the availability of modern and cheap sensor technology, many process variables still need to be estimated by using sophisticated algorithms that simultaneously reveal statistically best options (estimates) for the values of the unmeasured variables and the confidence associated with these estimates. It is a goal of this project to investigate new avenues in state estimation in order to improve reliability of coupled predictive control algorithms. The project of the thesis should be finished with successful demonstration of the developed techniques on a laboratory plant.

Requirements: The applicant should have obtained a M.Sc. degree in a field related to the particular project, such as chemical engineering, systems & control, mechanical engineering, electrical or electronics engineering, or computer science. A good command of the English language is required.

Conditions of employment: The positions are vacant immediately and run for four years. The successful candidate will be enrolled in the university graduate school. Salary and benefits are in accordance with the Slovak legislation regarding research and education bodies.

Application: Please send your application including a motivation letter, a curriculum vitae, a list of courses with grades, and contact information for two academic references to Dr. Radoslav Paulen (radoslav.paulen@stuba.sk).

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7.18. PhD: University of Louisiana at Lafayette, USA
Contributed by: Afef Fekih, afef.fekih@louisiana.edu

PhD: University of Louisiana at Lafayette, USA

The Advanced Controls Laboratory at the University of Louisiana at Lafayette, USA has available funding to support a PhD student in the general area of advanced control design/Fault Tolerant Control design. Students who have had prior research experience with wind turbines/PVs/power systems will have an advantage. The successful candidate is expected to have a strong background in control systems theory, power systems, fault tolerant control, robust control, and adaptive control. Programming skills in MATLAB/Simulink are required. A genuine interest and curiosity in the subject, excellent oral and written English communication skills are needed.

Applicants shall have a Master’s degree or equivalent in systems and controls, power systems, electrical engineering, mechanical engineering, applied Math or a related discipline. The PhD student is expected to carry out original research and complete coursework throughout the period of appointment. Results will be communicated in the form of journal publications, conference presentations, and the PhD dissertation.

The funding covers the cost of full tuition and stipends at a competitive rate and will start in Fall 2017.

Interested individuals should send their detailed curriculum vitae, copies of their recent transcripts, a copy of their best publication in English, and if applicable GRE/test scores to Dr. Afef Fekih (afef.fekih@louisiana.edu).

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7.19. PhD: University of Strathclyde, UK
Contributed by: Manuela L. Bujorianu, luminita.bujorianu@strath.ac.uk

PhD in Fire Safety
The Maritime Safety Research Centre (MSRC), Department of Naval Architecture, Ocean and Marine Engineering, University of Strathclyde (Glasgow, Scotland, UK).

Position description
Safety is at the heart of sustainable marine operations. However, given the dynamic nature and the growing size and complexity of modern vessels, effective management of pertinent risks remains a serious issue. There has hardly ever been a year featuring no maritime accident, let alone incidents and near misses. However, growing prevalence of cyber-physical systems on-board along with new sensor and information technologies jointly known as Industry 4, bring new problems but also new opportunities for more effective risk management.
The Maritime Safety Research Centre (MSRC) of the University of Strathclyde is engaged in a number of high impact, industrial research with focus on on-board risk management. A talented individual with the background in engineering or science is sought to fill an open PhD position in the topic of fire safety.
The successful candidate will be highly motivated, independent and yet an excellent team player, well organised, and result-oriented. As this work requires a multi-disciplinary approach, a wide set of right skills and aspirations would be advantageous. The successful candidate would be offered to commence immediately.
We offer a vibrant, nurturing environment with excellent, well-established prospects for professional development. You will be engaged with various industrial partners across the world, in particular with DNV GL and Royal Caribbean Cruises, and have a real opportunity to make it a safer and securer place.

Research project
Title: Development fire prevention methods and tools for cruise ships
The main research focus will be on fire prevention in safety critical spaces on cruise ships. New methods will need to be developed and turned into practical applications. Cyber-physical systems will need to be considered as enabling technology to achieve the effect.

Required skills
You expected to be analytically minded, like to solve problems and have adequate background in fire engineering, mathematics or engineering with skills in computational mechanics (CFD, FEA etc.), data analysis and programming.
Background in fire engineering is highly preferable (e.g., a master thesis in the area, work experience), although candidates with limited or no background but with aspiration and relevant qualifications to work in this area are also invited to apply.

Working conditions
• Full-time employment as a PhD-candidate for a period of 3 years.
• Funding for UK/EU Students: The funding covers Home-Scotland/EU student tuition fees and stipend (£14653 per year) in line with University rates (A student from the Rest of the UK (RUK) may be considered for a partial grant).
• Funding for non-EU/UK Students: Partly funding may be available depending on prior skills and other circumstances.

Supervision
Professor Dracos Vassalos, Professor of Maritime Safety
Other relevant academic
Industrial sponsor: DNV GL or Royal Caribbean Cruises

Information and applying
For more information about the project, please contact Dr. Manuela Bujorianu Luminita.bujorianu@strath.ac.uk or Dr Romanas Puisa, r.puisa@strath.ac.uk

Application closing date: 23 February 2018. Prompt application is advised, as this position is only available until a suitable candidate is found.

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7.20. PhD: University of Cambridge, UK
Contributed by: Ioannis Lestas, icl20@cam.ac.uk

PhD: University of Cambridge

A PhD position in the area of control is available at the University of Cambridge, Department of Engineering with a start date on October 1st 2018. Full funding (both fees and maintenance) will be provided to UK or EU citizens who have been ordinarily resident in the UK for 3 years prior to the start date (UK citizens are also eligible if they have been away from the UK for extended periods). For EU candidates who have not been resident in the UK only fees will be covered though additional funding might be provided to strong applicants. The project will be supervised by Dr Ioannis Lestas (icl20@cam.ac.uk) who can also be contacted for any inquiries.

Applications can be made via the university Application Portal
https://www.graduate.study.cam.ac.uk/how-do-i-apply
by specifying Dr Ioannis Lestas as project supervisor.
Applications should be received preferably by March 1st, though early submissions are strongly encouraged.

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7.21. PhD: University of Houston, USA
Contributed by: Karolos Grigoriadis, karolos@uh.edu

Research assistantships are available in the Department of Mechanical Engineering at the University of Houston for Ph.D. studies in the areas of dynamic systems identification and control with applications to mechanical, energy and biomedical systems. Specific areas of interest include: (i) the modeling and control of combustion engines, (ii) the identification and control of the human physiology and response to drugs, and (iii) the real-time monitoring and control of subsea oil production systems. Applicants are expected to have strong mathematical background and knowledge of modern control systems theory and applications documented by publications and prior MS studies on relevant topics. The vibrant Houston metropolitan area offers ample opportunities for interaction with collaborating industry and the Texas Medical Center. Applications from qualified Ph.D. students are invited for Fall 2018. For more information please contact: Prof. Karolos Grigoriadis, Department of Mechanical Engineering, University of Houston, Houston, TX 77204-4792, E-mail: karolos@uh.edu

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7.22. Research Fellow/Associate: National University of Singapore, Singapore
Contributed by: Chong Jin Ong, mpeongcj@nus.edu.sg

Research Fellow/Associate in Distributed Control of multi‐agent systems

Applicants are invited for Research Fellow/Associate positions to work on approaches to distributed control/optimization of multi‐agent system. In particular, effective approaches are sought that solve the consensus problem for a multi‐agent, network system under several settings: the presence of global constraint, time‐switching network and/or state and control constraints.

Applicants should possess at least a Master’s degree with at least 2 years’ relevant work experience for Research Associate position. Candidate with PhD degree (preferably in Multi‐agent Control,
distributed optimization) will be considered for Research Fellow position. The applicants should have very good foundation in mathematics and control theory. Those who have recently obtained a PhD
degree in general control theory, computer science and mathematics are also encouraged to apply.

Current PhD students who are on the last leg of their candidature (submitting their thesis within the next one or two months) or waiting for their oral defence may also be considered for the position.

Remuneration will commensurate with experience.

Applications with full CV to be submitted electronically to Assoc Prof Ong Chong Jin at email:
mpeongcj@nus.edu.sg

Only shortlisted applicants will be notified.

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7.23. PostDoc: U.S. Army Research Laboratory, USA
Contributed by: Jemin George, jemin.george.civ@mail.mil

Postdoc Posiiton at U.S. Army Research Laboratory (ARL)

Position Description - Postdoctoral Fellow: The U.S. Army Research Laboratory is seeking distinguished postdoctoral associates to conduct basic/applied research in the areas of i) distributed (nonconvex) optimization in contested/adversarial environment; ii) big-data analytics over resource constraint networks; and iii) distributed, resource-aware learning. The postdoctoral associates are expected to conduct fundamental research in collaboration with ARL scientists and engineers to build a foundation for distributed data science. Successful candidates will have the opportunity to collaborate with researchers from top academic institutions through several partnerships between Army laboratories, private industry and academia.

Position Qualifications: We are looking for candidates with strong background in distributed optimization, analysis of large datasets, machine learning, multi-agent optimization, and network analysis. Candidates should have the potential to publish in premier journals. All applicants must have strong mathematical and computing skills. Applicants should possess a Ph.D. in Mathematics, Statistics, Engineering, or other relevant fields. Applicants are expected to be highly motivated and intellectually curious researchers at an early stage of their scholarly career. Applicants are NOT required to be US citizens or permanent residents.

Application Process: The positions are available immediately and offered for one-year term, subject to renewal (up to three more years) based on performance. Salary is highly competitive and commensurate with rank and qualifications. Review of applications will begin immediately and continue until the positions are filled. Applicants must provide
(1) one page cover letter,
(2) curriculum vita including a list of publications,
(3) research statement (no more than 3 pages); and
(4) names and contact information for three references.

Please send all materials to: Jemin George (jemin.george.civ@mail.mil)

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7.24. PostDoc: University of Michigan, USA
Contributed by: Dimitra Panagou, dpanagou@umich.edu

Postdoctoral Opening: Safety and Resilience in Multi-Agent Systems.
Aerospace Engineering Department, University of Michigan, Ann Arbor, USA

The Distributed Aerospace Systems and Control Lab at the Aerospace Engineering Department (http://www-personal.umich.edu/~dpanagou/research/index.html), University of Michigan (Ann Arbor, MI, USA) is inviting applications for one postdoctoral research associate position.

The successful candidate will work on planning, decision-making, and control for multi-agent systems, with emphasis on the robustly safe and resilient control and estimation for autonomous multi-vehicle systems, and for human-robot systems. The duration of the position is one year and may be renewable for another year depending on satisfactory progress and availability of funds.

Candidates should have a strong background in the general areas of hybrid systems and control theory, game theory, motion and path planning, and estimation theory.

Interested applicants should send a CV, a brief description of interests and goals, and a list of three references in a single PDF file to Professor Dimitra Panagou (dpanagou@umich.edu). Applications will be evaluated as soon as they are received, until the position is filled. The position is immediately available.

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7.25. PostDoc: Shanghai Jiao Tong University, China
Contributed by: Bowen YI, yibowen@ymail.com

Postdoctoral Position in Shanghai Jiao Tong University, China

The Optimization & Control Engineering Research Center of Shanghai (in the Department of Automation, Shanghai Jiao Tong University, China) offers 3 postdoc positions in control engineering as soon as possible thereafter. We are interested in candidates in the broad areas of advanced control theory, multi-agents formation, artificial intelligence, machine learning, pattern recognition, game theory, industrial networked control systems, etc.

Requirements and qualifications:
-PhD degree
-Documented experience with research dissemination in international scientific journals
-Experience with writing research applications
-Good communication skills in English or Chinese
-Self-motivation and the ability to work both independently and as a team player with researchers from different disciplines

Main tasks:
-Active involvement in research efforts
-Supervision of student projects and thesis at both master and Ph.D. levels

Salary and others:
- RMB 120-200k/year (approximately, 18-30kUSD)
- It is a 2-year position and can be extended to 5 years

Required documents
-One self-recommendation letter covering your research statements, your achievements, as well as your possible requirements from us
-A list of your publications

For further information, please contact Prof. Dr. Weidong Zhang, Email: wdzhang@sjtu.edu.cn.
Tel: +86-21-34204019.
Address: Dongchuan Road 800, Shanghai Jiao Tong University, Shanghai 200240, China.
http://automation.sjtu.edu.cn/ipac
http://automation.sjtu.edu.cn/wdzhang

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7.26. PostDoc: IA IMT Lille Douai, France
Contributed by: Stephane Lecoeuche, stephane.lecoeuche@imt-lille-douai.fr

Further explorations between Machine Learning and Control Systems

A postdoc position is offered at IA IMT Lille Douai as a part of CPER Data project,
Duration: 12 months of contract,
Starting Date: Open in February 2018

We are looking for a candidate with a strong scientific background and a PhD in one of the following fields: control theory, system identification, machine learning and statistics.

Context and works to be achieved during this post-doc

The Informatics and Automatic Control UR http://ia.ur.mines-douai.fr/en/home/ is a specific unit of IMT Lille Douai. Its research domain is the engineering of evolving systems. Most of its works concern original Big Data and ICT-based solutions for better system management. Original techniques for modelling, monitoring and control of complex processes, are developed at the boundary between control systems, machine learning and artificial intelligence.
The successful applicant will work on the frontier between machine learning and control theory/system identification. System identification is a sub-discipline of control theory which aims at learning dynamical models (difference/differential equations) from data and use these models for decision making (control). Recently, the same problem has gained attention in the machine learning community.

The specific tasks the candidate is expected to contribute to are:
- To study the connections between dynamical models typically considered from a machine learning point of view and those seen by control systems community;
- To study the connections between Machine Learning algorithms and system identification techniques;
- To transfer results for better methods of control or prediction;
- To experiment on benchmark examples related to Building or Industry.

Profile
The candidate must hold a PhD Thesis in Machine Learning, Automatic Control, Model estimation. The candidate must demonstrate scientific expertise and abilities to implement solutions in domains of application such as smart manufacturing and smart cities.

Contact
Dr. Lucien ETIENNE - Department of Informatics and Automatic Control Tel: +33 3.27.71.25.26 Mail: lucien.etienne@imt-lille-douai.fr
Pr. Stephane LECOEUCHE - Department of Informatics and Automatic Control Tel: +33 3.27.71.24.45 Mail: stephane.lecoeuche@imt-lille-douai.fr

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7.27. PostDoc: UTFSM, Chile
Contributed by: Juan Yuz, juan.yuz@usm.cl

POSTDOCTORAL POSITIONS

The Advanced Center for Electrical and Electronic Engineering (AC3E) offers up to FOUR postdoctoral fellowships in the areas of Smart Industry, Energy and Power Systems, and Health Technologies.

AC3E was created on 2014 to group individual research efforts into multi- and inter-disciplinary teams and focus research towards industry related problems to spark innovation. The Center is part of UTFSM, one of the most prestigious universities in Chile and Latin America in the area of science, technology, and engineering. The lines of research of the Center are: Control and Automation, Renewable Energy and Power Conversion, Robotics, Biomedical Systems, Electrical Systems, and Signal Processing and Communications. These lines of research focus their work around the following areas of impact.

Areas of Impact
1. Smart Industry.
2. Energy and Power Systems.
3. Health Technologies.

Required Documents
1. Cover letter explaining your interest in becoming part of AC3E.
2. Curriculum Vitae, including a list of publications.
3. Evidence of PhD degree.
4. Contact details of at least two referees, that may be contacted for a reference letter.

Important Information
• The postdoctoral fellowships are for two years.
• Required documents should be provided in English in a single PDF file.
• The positions are for working at AC3E, located at UTFSM main campus in Valparaiso, Chile.
• Selected candidates are expected to join AC3E no later than July 2018.
• Application deadline is March 5, 2018.
• Applications should be sent to ac3e@usm.cl with subject POSTDOCTORAL POSITIONS 2018.
• Additional information can be found at www.ac3e.cl and at www.usm.cl
• Further enquiries can be sent to ac3e@usm.cl

Juan I. Yuz E., Ph.D.
Director, Advanced Center for Electrical and Electronic Engineering
Associate Professor, Departamento de Electrónica
Universidad Técnica Federico Santa María, CHILE.
http://profesores.elo.utfsm.cl/~jyuz
http://www.ac3e.usm.cl

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7.28. PostDoc: National Institute of Informatics, Japan
Contributed by: Ichiro Hasuo, i.hasuo@acm.org

PostDoc: National Institute of Informatics, Japan
(New: our positions are being filled up but there are a few open ones)

For our 5-year research project (ERATO MMSD, Metamathematics for Systems Design) we are looking for
- senior researchers and
- postdocs
(10+ positions in total and a few are still open), together with research assistants (PhD students) and internship students.

This broad project aims to extend the realm of formal methods from software to cyber-physical systems (CPS), with particular emphases both on logical/categorical metatheories and industrial application esp. in automotive industry. The project covers diverse areas that include: control theory, control engineering, formal methods, programming languages, software science, software engineering, machine learning, numerical optimization, user interface, mathematical logic and category theory.

For more about the project please visit
http://group-mmm.org/eratommsd

About the open positions
http://group-mmm.org/eratommsd/openpositions.html
has more information (including how to apply/inquire).

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7.29. PostDoc: INRIA Grenoble, France
Contributed by: Bernard Brogliato, bernard.brogliato@inria.fr

Post-doctoral position at INRIA Grenoble, France: This post-doc position subject is about Linear Complementarity Systems (LCS) analysis, which make an important class of hybrid dynamical systems with applications in circuits with piece-wise linear components, optimal control with state inequality constraints, genetic networks, etc. In particular the design of time-varying stabilizing controllers, both by state and output feedback (keeping in mind that LCS are strongly nonlinear and nonsmooth dynamical systems, for which the separation principle does not automatically apply), will be tackled. Theoretical results will be supported by numerical simulations obtained with the INRIA software package SICONOS (\url{http://siconos.gforge.inria.fr/4.1.0/html/index.html}).

Location: INRIA Grenoble, France. Applicants should hold a PhD (defended between 1st September 2016 and 31st July 2018) in Systems and Control or Applied Mathematics. Starting date: 1st November 2018, duration: 16 months. Gross salary: 2650 Euros per month. Applications have to be made on-line on the INRIA web site before end of March. For more details please contact Dr Bernard Brogliato (bernard.brogliato@inria.fr) of Dr Christophe Prieur (christophe.prieur@gipsa-lab.fr).

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7.30. PostDoc: University of Utah, USA
Contributed by: Masood Parvania, masood.parvania@utah.edu

A Postdoctoral Scholar position is available for joining the Utah Smart Energy Lab at the Department of Electrical and Computer Engineering at the University of Utah, Salt Lake City, Utah, USA. The postdoctoral researcher will work on a project funded by the U.S. Department of Energy on developing novel stochastic optimal control models for power systems operation with renewable energy resources, energy storage devices and controllable loads. The successful candidate should hold a Ph.D. in a relevant discipline with strong background in control systems design, stochastic optimization, and power systems operation.

Candidates should send an email to Dr. Masood Parvania, at masood.parvania@utah.edu, along with the following documents:
• Motivation letter (no more than 1 page)
• Curriculum vitae
• Names and contact information of at least two references
• PDFs of at least two relevant publications

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7.31. PostDoc: MINES ParisTech, France
Contributed by: Francois Chaplais, francois.chaplais@mines-paristech.fr

Six month Postdoc at CAS, MINES ParisTech, Paris

The subject is about the robustness of interior methods in optimal control when dealing with state constraints. We know from very simple examples that control problems with state constraints are not robust to model uncertainty. Interior point methods in optimal control put a penalty at the boundary of the state constraint. This penalty is pondered by a factor r that tends to zero as the interior point method converges. We have observed numerically, on several examples, that for small values of the weight factor r, the trajectory is rather far away from its constraints while delivering a very good performance in the optimal control problem; therefore one can expect some robustness to model uncertainty for this r.

The postdoc subject is to investigate theoretically this practical compromise between robustness and cost performance.

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7.32. PostDoc: University of Michigan, USA
Contributed by: Anouck Girard, anouck@umich.edu

Post-doctoral position opening in Learning and Control Algorithms for Autonomous Driving at the University of Michigan.

A post-doctoral research fellow position is open in the Department of Aerospace Engineering at the University of Michigan, Ann Arbor. The position entails conducting research into algorithms for automated driving based on applications of learning, modern control theory and artificial intelligence, including game theory, stochastic dynamic programming, and/or reinforcement learning. This position is offered in collaboration with Ford Research and Advanced Engineering.
 
The preferred candidate will have a strong background and interest in one or more areas of advanced learning and control, such as reinforcement learning, game theory, model predictive control, nonlinear control and/or adaptive control, and past experience with (or interest in) control applications and autonomous vehicles. Familiarity with automotive vehicle dynamics and control is a plus. The position is initially for one year, and renewable for subsequent years. The intended start date is March 1, 2018.

Potential applicants should send via e-mail (Subject: PostDoc Application in Autonomous Driving), a CV and the names of three references to Prof. Anouck Girard at anouck@umich.edu.

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7.33. PostDoc/Visiting Researchers: Huazhong University of Science & Technology, China
Contributed by: Ye Yuan, ye.yuan@outlook.com

Prof. Ye Yuan (http://yy311.github.io) is looking for a number of postdocs and visiting researchers starting as soon as possible at Huazhong Artificial Intelligence Lab (HAIL), Huazhong University of Science & Technology (HUST), China.

The research project is broadly on the development of deep learning, system identification and control theory and its application to robotics.
1. For Postdoc, we offer
• A competitive salary (USD 35,000 – 50,000 per year);
• Experimental platforms to test ideas (Vicon + Crazyflies, GPU cluster, UR3/5 robot + Kinect)
• Full contract for 2 years with the possibility of renewal up to 5 years contingent on performance;
• Possibilities to stay at HUST as a lecturer or an associate professor afterwards.
2. For visiting professors, we offer
• A highly competitive salary depending on the qualification (up to USD 9,000 per month);
• Travel cost and local housing.
3. Your Profile
• A Ph.D. degree in Control Theory, Robotics, Mathematics or a closely related field;
• An excellent background in one of the following areas: system identification, control theory, machine learning, neuroscience, robotics.
• Tenured professors in leading institutes (for visiting professors).

Interested candidates should send their CV (with names of at least two references) and a cover letter (for postdoc candidates) describing their specific interest and how their background fits the qualifications to Prof. Ye Yuan <yye@hust.edu.cn>.

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7.34. Faculty: Louisiana State University, USA
Contributed by: Guoxiang Gu, ggu@lsu.edu

The Division of Electrical & Computer Engineering (http://www.ece.lsu.edu) in the School of Electrical Engineering & Computer Science at Louisiana State University, Baton Rouge, seeks outstanding candidates for an Assistant Professor tenure-track position in Controls starting August 2018. Candidates are sought with research interests and experience in all areas of controls, including but not limited to: robust control, optimal control, adaptive control, nonlinear control, linear control, industrial process control, robotics, and advanced manufacturing. The successful candidate will have the opportunity to join a growing Robotics group and support a recently-introduced multidisciplinary Robotics Minor in the College of Engineering.

Louisiana State University is Louisiana’s Flagship University and is committed to academic excellence. It is located in Baton Rouge, the State’s capital city with high-quality housing and many cultural and recreational facilities within a short distance.

Duties of the position include establishing a vigorous, externally funded research program, publishing in highly ranked journals and conference proceedings, supervising graduate students and student advising, teaching at the graduate and undergraduate levels in candidate’s specialization in the field of electrical engineering, participate in University service, including committee activities, and maintaining professional standards and level of competence.

Required Qualifications: Ph.D. in Electrical Engineering or a closely related field. Candidates who have satisfied all other doctoral requirements but dissertation submission will also be considered. The candidate must have demonstrated potential for excellence in teaching graduate and undergraduate courses in Electrical Engineering, conducting research, and the ability to attract research sponsorship.

Salary will be commensurate with qualifications and experience. Application review is set to begin on January 15, 2018, although it may begin sooner, and will continue until a candidate is selected.

For more information and to apply visit: https://lsu.wd1.myworkdayjobs.com/en-US/LSU/job/LSU---Baton-Rouge/Assist.... LSU is committed to diversity and is an equal opportunity / equal access employer.

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7.35. Faculty: Norwegian University of Science and Technology, Norway
Contributed by: Morten Breivik, morten.breivik@ntnu.no

The Norwegian University of Science and Technology (NTNU, http://www.ntnu.edu/) hereby invites applications for a professorship/associate professorship in Instrumentation and Sensor Systems, affiliated with the Department of Engineering Cybernetics (Institutt for teknisk kybernetikk - ITK, http://www.ntnu.edu/itk) at NTNU’s Faculty of Information Technology and Electrical Engineering.

ITK has 24 professors, 17 adjunct professors, about 15 postdocs and researchers as well as 70 PhD candidates. Approximately 160 candidates graduate annually from the three MSc programs in cybernetics, which comprise over 700 students in total. The department is involved in numerous research projects and centers, including the Centre of Excellence for Autonomous Marine Operations and Systems (NTNU AMOS, http://www.ntnu.edu/amos). Two of ITK’s professors are IEEE Fellows.

The professor/associate professor must have a solid background in instrumentation and sensor systems and their use in industrial control systems. Supplementary research competence in any of the following areas is also relevant: Safety and reliability of industrial real-time systems; cyber security; systems engineering; industrial computer systems and networks; industrial internet of things (IIoT); embedded systems; electronics; signal processing; data analysis; estimation; and statistical modelling.

Relevant application areas include energy and process systems; marine vessels; autonomous vehicles; robotics; ocean science; biology; medicine; health; buildings; infrastructure; transportation systems; and remote sensing, surveillance and monitoring.

The professor/associate professor is expected to play a leading role in research and research-based education in instrumentation and sensor systems in cooperation with the existing staff at ITK. She or he is also expected to establish collaboration with relevant colleagues at other departments at the faculty and within NTNU’s strategic research areas.

The department has strong relationships to Norwegian and international academia and industry, with numerous joint research projects. The research activities at the department rely crucially on external funding, and the development of educational programs may also receive external funding. The successful applicant is expected to work actively to obtain research grants and other external funding from the Research Council of Norway, European research and educational agencies, relevant industry and other available sources.

The full announcement can be found at https://www.jobbnorge.no/ledige-stillinger/stilling/145915/professor-ass...

About NTNU, Trondheim and Norway:

- About NTNU: http://www.ntnu.edu/
- NTNU Facts and Figures: http://www.ntnu.edu/facts
- NTNU International Researcher Support: http://www.ntnu.edu/nirs
- About Trondheim: https://trondheim.com/
- About Norway: https://www.visitnorway.com/about/
- Working in Norway: https://www.nav.no/workinnorway/en/Home
- Practical info about Norway: http://www.nyinorge.no/en/Ny-i-Norge-velg-sprak/New-in-Norway/

NTNU is Norway's largest university, with an annual budget of USD 1 billion. Its 55 departments are spread out over 8 faculties, educating 40.000 students at any one time, of which half study technology and the natural sciences. NTNU graduates almost 7.000 bachelor and master students every year, while about 370 doctoral degrees are awarded annually. The university has more than 100 laboratory facilities distributed among the different faculties and departments. These are central elements in NTNU's education and research work.

Many of the technological and cultural innovations that allow Norway to extract oil and gas from the North Sea, grow healthy salmon in fish farms, or interpret the country's 9.000 years of human history have been developed at NTNU. The university itself, founded in 1910, has contributed a solid century of academic achievements and discoveries that have shaped Norwegian society.

Trondheim was Norway's first capital city, founded more than 1.000 years ago, in 997 - but now instead of Viking raiders and Hanseatic traders, you'll find jazz musicians and an international student body savouring Trondheim city life. With a population of 187.353 (January 1, 2016), it is the third most populous municipality in Norway.

With its snow-capped mountains, deep green valleys and sapphire blue fjords, Norway is recognized the world over for its scenic beauty. Combine that with Norway's cultural heritage, and you'll find that living in Norway has something to offer everyone.

While Norway lies at the very top of Europe – and in fact includes the island archipelago of Svalbard, home to the most northerly communities on the planet – the country's climate is moderated by the Gulf Stream, and features four distinct seasons. Norway's natural beauty and a history of famous polar explorers are two reasons why the outdoors is such an important part of Norwegian culture.

Newcomers to Norway will find the Norwegian work culture to be relaxed, but efficient. The typical work week is 37.5 hours long, with a generous summer holiday time and official holidays sprinkled throughout the year. The work culture reflects the culture at large, which is respectful of individual rights and supports a generous welfare system.

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7.36. Faculty: Clemson University, USA
Contributed by: Ardalan Vahidi, avahidi@clemson.edu

The Department of Mechanical Engineering at Clemson University invites applicants for a tenure-track faculty position at the Assistant Professor rank in the area of controls, multi-body dynamics, and/or robotic systems. Please find more information at the job application link below:

https://apply.interfolio.com/48069

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7.37. Faculty: Westlake Institute for Advanced Study, China
Contributed by: Wei Li, Liwei@wias.org.cn

Westlake Institute for Advanced Study (WIAS) is an elite, private, comprehensive research institute located in the beautiful city of Hangzhou, China. WIAS aims to become a top research institute in the world, pushing the frontiers of science and technology. English is an official language of WIAS.

WIAS has four research institutes: Natural Sciences (covering math, physics, chemistry, astronomy, geosciences, and emerging fields of sciences), Advanced Technology (covering all branches of engineering), Biology (covering all branches of modern experimental biology and computational biology), Basic Medical Sciences (covering all branches of medical sciences). Each Institute has 50+ faculty positions at all ranks, to be filled in the next 5-8 years. Institute of Advanced Technology will establish the foundation of “School of Engineering, West Lake University” in near future.

WIAS is an equal opportunity employer and encourages applications from qualified individuals of all ethnic background and from all countries. Applicant must have a doctoral degree and must have demonstrated exceptional research excellence in a relevant field.

Research excellence is the primary criteria for the evaluation of faculty applications. Appointments are made at four levels: Assistant Professor, Associate Professor, Full Professor, and Endowed Chair Professor.

In 2018 recruitment round, Institute of Advanced Technology(IAT) will specially solicit qualified applicants to fill positions in the following three research centers:

1. Information Science and Engineering (including Artificial Intelligence, Robotics, Communication, Control etc);
2. Nanotechnology and Energy Engineering;
3. Environmental and Resources Engineering;

Notwithstanding above, IAT will also welcome exceptionally qualified applicants in all areas of Engineering.

Each hired faculty member will receive an internationally competitive salary, generous housing and fringe benefits, and ample start-up funds. Long term, stable research funds are available for faculty members who are at the forefront of their chosen research fields. WIAS offers a highly stimulating research environment and an inter-disciplinary approach to research problems. All faculty members are encouraged to attack scientific problems of the most challenging and most significant type. At WIAS, sky is the limit!

Such job opportunities are unprecedented in China and apply to not just Chinese but also talented individuals of other nationalities who have no fear about experiencing cultural diversity and living and doing research in a multi-cultural environment.

Please send your application (cover letter, curriculum vitae, and research proposal) to talents@wias.org.cn

Please also arrange three letters of references to be sent directly to the above email address. Please remember to mark your application (in the email subject: Name_IAT_(research area)).

This advertisement is effective throughout 2018 and positions remain open until filled.

² Applications received by 25/Jan/2018 will be given priority assessment and shortlisted candidate may be interviewed in early Feb 2018.
² Qualified candidates are encouraged to apply for the 'Thousand Talents Program' or the 'Youth Thousand Talents Program' through WIAS.

As a special initiative, Institute of Advanced Technology (IAT) will also be recruiting exceptional fresh PhD graduates and those with less than 5 years’ postdoctoral experiences into the newly created “Future Fellow” scheme at the academic rank of Research Assistant Professors. Appointees to this scheme will be offered a 3-4 year’s fixed term contract, with substantial support (research fund, PhD students, mentoring, etc) to assist them to become ready for their first tenure-track appointment.

Contact:
Ms. YANG Mengchen, Department of Human Resources, Westlake Institute for Advanced Study
Address: 18 Shilongshan Road, Cloud Town, Xihu District, Hangzhou, Zhejiang Province, China

For more information, please visit: http://www.wias.org.cn/

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7.38. Faculty: KAUST, Saudi Arabia
Contributed by: Jeff Shamma, jeff.shamma@kaust.edu.sa

The Electrical Engineering (EE) Program in the Computer, Electrical, and Mathematical Sciences and Engineering (CEMSE) Division at King Abdullah University of Science and Technology (KAUST) invites applications for faculty positions at all ranks (Assistant, Associate, and Full Professors), with preference for candidates at the Assistant Professor level. Candidates applying for a position of Assistant Professor should have an excellent potential for high impact research. Candidates applying for Associate and Full Professor positions should have a distinguished track record in research and a strong commitment to service and teaching at the graduate level.

We seek candidates in all fields pertaining to electrical engineering. Of particular interest are applicants in the areas of (i) robotics, (ii) computer vision, (iii) smart grid, and (iv) energy storage.

KAUST is an international, graduate research university dedicated to advancing science and technology through interdisciplinary research, education, and innovation. Located in Saudi Arabia, on the eastern shores of the Red Sea, KAUST offers superb research facilities, generous baseline research funding, and internationally competitive salaries, together with unmatched living conditions for individuals and families. More information about KAUST academic programs, research activities, and community life are available at:

https://www.kaust.edu.sa

The EE program at KAUST is recognized for its vibrant research programs and collaborative environment. EE core research competencies in energy efficiency, nanoelectronics and nanotechnology, sensors, as well as communications, computer vision, and control systems, are strongly supported by KAUST’s international research collaboration network and KAUST’s advanced research facilities such as the Nanofabrication, the Imaging and Characterization, and the Supercomputing Core Facilities. More information about the EE program and CEMSE division are available at:

https://cemse.kaust.edu.sa

Interested persons will be required to complete a brief application form and upload a single PDF file including: (i) A complete curriculum vitae with a list of publications; (ii) Research and teaching statements; and (iii) The names and contact information for at least 3 references for an Assistant Professor position.

KAUST is committed to maintaining a diverse faculty body and encourages applications from women faculty candidates.

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7.39. Faculty: University of Groningen, The Netherlands
Contributed by: Claudio De Persis, c.de.persis@rug.nl

Tenure Track Assist. Prof. Optimisation & Operations Research Engineering (2 positions)
University of Groningen

*Job description*
Tenure Track position in optimization of engineering systems
The successful candidate is expected to develop research in areas optimization for engineering systems. The theoretical side of the optimization might involve convex optimization, game theory, cone programming, stochastic optimization or non-smooth optimization while the application domains include, but are not limited to, managing traffic and logistic systems, vehicle routing and task assignment, supply chain management, optimizing energy systems, decision-support for manufacturing systems, and automation of robotic systems. Other areas, e.g. learning and data mining, financial engineering and intelligent systems, might be considered as well in cases of exceptional applicants. It is particularly encouraged that the applicant’s research areas have clear and close connection with various engineering data or processes in the context of smart cities, modern transportation, flow networks, energy systems, communication and computer networks, cyber-physical networks and manufacturing & service. The candidate will be embedded in the SMS-Cyberphysical System group in which research in cyber-physical systems, dynamical networks, nonlinear systems, hybrid and switched control is conducted, with applications ranging from smart grids, to data centres, water and heat networks, as well as adaptive optics.

Tenure Track position in operational research of engineering systems
The successful candidate is expected to develop research in areas operational research for engineering systems. The possible sub-research areas include, but are not limited to, managing traffic and logistic systems, vehicle routing and task assignment, supply chain management, optimizing energy systems, decision-support for manufacturing systems, and automation of robotic systems. Other areas, e.g. game theory, learning and data mining, financial engineering and forecasting for stochastic processes, might be considered as well in cases of exceptional applicants. It is particularly encouraged that the applicant’s research areas have clear and close connection with various engineering data or processes in the context of smart cities, modern transportation, flow networks, energy systems, communication and computer networks, cyber-physical networks and manufacturing & service. The candidate will be embedded in the DTPA (Discrete Technology and Production Automation) group in which research in energy networks, robotic systems, mechatronic systems, and nonlinear control is conducted, with applications ranging from power networks, to traffic systems, smart manufacturing, as well as logistic systems.

For more information about the research groups and institute:
http://www.rug.nl/research/sms
http://www.rug.nl/research/dtpa
http://www.rug.nl/research/enteg

*Qualifications*
Candidates have the following qualifications:

- a PhD degree in relevant areas such as optimization, operations research, industrial engineering, management science, systems and control, and decision science
- by the time the candidate is hired for the position, preferably two or more years of experience in a post-doctoral capacity abroad
- at least two years of experience at another educational institution than the University of Groningen
- excellent research qualities, as evidenced by a publication record in international peer-reviewed journals and renowned conferences, and a relevant international network
- research, teaching and organizational experience appropriate to career stage
- a working knowledge of the English language and willingness to learn Dutch within a time frame of two years
- evidence of experience in proposal writing for or successful acquisition of external funding appropriate to the career stage.

For more details please visit the page
https://www.rug.nl/about-us/work-with-us/job-opportunities/overview?deta...

*Applications*
You may apply for this position until 4 March / before 5 March 2018 Dutch local time by means of the application form. Click on "Apply" on the page
https://www.rug.nl/about-us/work-with-us/job-opportunities/overview?deta...

Interested candidates are invited to submit a complete application including:
- a letter of motivation
- a curriculum vitae, including a list of publications
- a list of five self-selected ‘best papers’
- a statement about teaching goals and experience and a description of scientific interest and plans
- the names of three references complete with title and contact information.

Please make explicit if you want to apply for one of the positions in particular and refer to the vacancy number.

Unsolicited marketing is not appreciated.

*Information*
For information you can contact:

Prof. C. De Persis (particularly about the optimization position), c.de.persis@rug.nl
Prof. J.M.A. Scherpen (particularly about the operational research position), j.m.a.scherpen@rug.nl
(please do not use for applications)

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7.40. Research Scientist: Optikom, China
Contributed by: Daniel Chu, dchu@optikom.cn

A research scientist available at Optikom, Xiamen China

Responsibilities
- Algorithm Development
- Matlab/R Programming
- On-site Commissioning
- Be involved in the whole cycle of the software development: design, documentation, testing, alpha trial, beta trial, release, etc
- Customer support
- Publication and fund application

Requirements
- Have the Ph.D. degree in the area of process control, applied mathematics, chemical engineering, computer science, or the other related area.
- Be familiar with system identification, system failure prediction, abnormal detection, model based control, plant lifecycle management, and other related knowledge.
- Will be an asset to have experience of industrial project commissioning
- Will be an asset to have the experience with big data analysis
- The candidate with strong interests on the industrial applications using complicated algorithm development is highly recommended to apply.
- Fluent in both spoken and written Chinese

Interested applicants may send his/her CV to dchu@optikom.cn. Benefits included competitive salary package, plus health insurance, employee stock purchase plan, and housing allowance. For more information check www.optikom.cn. If you want to know how to used advanced control algorithms and cloud-based techniques to change the world, please do not hesitate to apply.

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7.41. Product Development Engineer: Arconic Fastening Systems and Rings, USA
Contributed by: Douglas Redman, douglas.redman@arconic.com

Arconic Fastening Systems and Rings (AFSR) is seeking a New Product Development (NPD) Engineer for our NPD Engineering team. This role will focus on the implementation of machining controls. The position is located at the AFSR fastener manufacturing plant in Carson, CA.

Arconic Fastening Systems and Rings (AFSR) holds the number one global market position in aerospace fastening systems and rings, and we’re the North American leader in commercial transportation fasteners. Our rings and high-tech, multi-material fastening systems are found nose to tail on aircraft and aero engines. Our products are also critical components of industrial gas turbines, automobiles, commercial transportation vehicles, and construction and industrial equipment. Headquartered in Torrance, CA; AFSR employs over 7,500 people in 13 countries at 38 locations. AFSR is a business unit of Arconic (NYSE:ARNC).

Join Arconic and join a network of people who are passionate about industry-changing technology that advances the world. You’ll have the opportunity to work with leading global companies that operate in world-changing industries—such as aerospace, automotive, building and construction, defense and commercial transportation. It’s not just a job. It’s a career and a path to the future. You’ll be part of a diverse culture of learning, teaching and mentorship. Arconic is fully committed to developing people: providing employees with the resources, and learning and development opportunities they need to excel and build a career.

Key Responsibilities:

Work independently to design electromechanical systems of medium to advanced complexity.
Develop mechanical parts, drawings and assemblies utilizing sound engineering and design for manufacturing principles.
Apply control theory to develop software for remote control of robotic assemblies.
Specify and source off the shelf components, including, sensors controllers, motors, gears, tools, etc.
Optimize new and existing products and fabrication process using principles of Mechatronics
Design, select and integrate sensors and actuators, develop control algorithms
Plans and develops test programs and coordinates fabrication of the new products and process using efficient project management techniques
Basic Qualifications :
M.S. In Mechanical Engineering, Control Engineering or Electrical Engineering
Minimum of 2 years of experience in mechatronics or robotic design and analysis.
Employees must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire. Visa sponsorship is not available for this position.
This position is subject to the International Traffic in Arms Regulations (ITAR) which requires U.S. person status. ITAR defines U.S. person as an U.S. Citizen, U.S. Permanent Resident (i.e. 'Green Card Holder'), Political Asylee, or Refugee.

Preferred Qualifications :
Preferred Qualifications :
M.S. In Mechanical Engineering, Control Engineering or Electrical Engineering ideally from a research university

Must have interest in robotic systems and desire to lead design projects
Ideal candidate will have experience with additive Manufacturing
Must be proficient in SolidWorks.
Must have a firm grasp on GD&T per ASME Y14.5.
Must have computer skills, including the ability to use MS Office applications.
Must have suitable spoken and written communication skills, and be able to present technical
information effectively in one-on-one and small group situations.
Must have impeccable attention-to-detail and time-management skills.

Please apply at www.arconic.com

 

Additional Resources:

IEEE JobSite

IEEE JobSite is a searchable database containing a comprehensive listing of jobs in the electrical, electronic, engineering, and computer-related fields. For listings specific to control systems, please see here 

IEEE resumeLab is an online service that allows IEEE members to develop a resume or CV. You can also perform mock interviews using over 900 potential interview questions. The information developed on IEEE ResumeLab is easily shared via a personalized website.
IEEE mentorCentre is an online program that facilitates the matching of IEEE members for the purpose of establishing a mentoring partnership.
IEEE collabrotec site: an integrated online community where technology professionals can network, collaborate, and create — all in one central hub. The IEEE Collabratec™ online community offers a suite of productivity tools and is available to technology professionals around the world with exclusive features for IEEE members.