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.



5.1. Technical Writer for IEEE Control Systems Magazine
Contributed by: Jonathan How, jhow@mit.edu

Technical Writer for IEEE CSM

The IEEE Control Systems Magazine (CSM) seeks to hire a technical writer (TW) to help produce the print and electronic, peer review content that is well written and accessible to a technologically literate, interdisciplinary audience. CSM articles are evaluated on both the technical presentation of the authors' work and its interest to readers - not just its scientific novelty or perceived impact on the field. The TW would help the Editor-in-Chief to provide feedback to the authors to improve the prose of the articles before they are accepted for publication and check the page proofs when returned from IEEE.

The ability to write well and critique other authors/contributors, especially with regard to highly technical and complex proposals, is a necessary skill set for this position. Several years' experience in a technical publishing leadership role is highly desirable. Extensive experience in publication planning, and scheduling, and knowledge of the publications process is critical to keeping the publication current and on schedule. Subject matter knowledge would be beneficial, but is not necessary.

The load is heaviest every 2 month, has tight deadlines, and averages about 40hrs/month. Compensation in the range of $30 - $50 per hour that will be commensurate with experience.

If interested, please send a short CV, examples of past work, and references to the CSM EiC (jhow@mit.edu)

Links:
CSM: http://ieeecss.org/publications/csm
Authors Guide: http://ieeecss.org/sites/ieeecss.org/files/CSMAG_May2016.pdf

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5.2. PhD: Université Laval, Canada
Contributed by: André Desbiens, desbiens@gel.ulaval.ca

PhD: Université Laval, Canada

Three PhD positions are available at the LOOP (Laboratoire d’observation et d’optimisation des procédés – Process Observation and Optimization Laboratory), Université Laval, Québec City, Canada. The projects are in collaboration with the multinational biopharmaceutical Pfizer. They address industrial problems and the solutions will have significant impacts for Pfizer.

For pharmaceutical industries, automation and continuous processing is a way to become more competitive, to reduce production time, energy consumption and the amount of waste produced. Towards this objective, the projects are:

Project #1 - Coating of the tablets: development of an in-line vision sensor providing film-coating properties (coating level, distribution across tablets, esthetical defects, etc.).
- Fractional factorial design
- Multivariate Image Analysis
- Partial Least Squares regression
- Validation of the machine vision sensor

Project #2 – Novel continuous drying of the granules (before they are compressed into tablets): safe and robust in-line minimization of the drying time and/or energy consumption while insuring a desired final humidity of the particles and avoiding their overheating.
- First-principles modelling and model calibration
- State estimation
- Model predictive control
- Real-time optimization

Project #3 - Freeze-drying of vials: safe and robust in-line minimization of the primary drying time and/or energy consumption while insuring that sublimation is completed and avoiding to exceed the collapse temperature.
- First-principles modelling and model calibration
- State estimation
- Model predictive control
- Real-time optimization
- Heating policies for various vials arrangements

The final stage of the three projects is to implement and validate the most promising approaches on pilot units.

Candidate profile:
- should have completed, or about to complete, a MSc degree in Electrical or Chemical Eng., or related areas,
- strong background in multivariate statistics and/or first-principles modelling and/or systems and control,
- solid programming skills in Matlab,
- ability to work in multi-disciplinary teams,
- excellent communication skills (oral and written) in English - a plus if knowledge of French (courses are given in French).

Please send a complete CV, a motivation letter and transcripts to Prof. André Desbiens (desbiens@gel.ulaval.ca) with the subject "E-Letter PhD position”.

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5.3. PhD: Université Grenoble Alpes/GIPSA-lab, France
Contributed by: Emmanuel Witrant, emmanuel.witrant@univ-grenoble-alpes.fr

PhD Position Université Grenoble Alpes / GIPSA-lab (France)
Supervisors: Prof Emmanuel Witrant and Dr. Vincent Talon
Web: http://www.gipsa-lab.fr/~e.witrant/

PhD topic: Estimation and Control for Networks of Gas Mixtures with Application to EGR in Car Engines
Starting date: June/July 2017, for a duration of 3 years

Description:
Modeling and control of fluid flow networks has been a challenging topic during the last decades. This research is motivated by engineering applications such as car engines, mine ventilation systems, gas pipelines, water channels, traffic flow dynamics, heat exchangers, etc. Estimation and control of gas mixtures are of prime interest for car engines and more precisely to control the gas composition in the admission air-path while taking into account the exhaust gas recirculation (EGR) inner and outer loop. Engineering models for gas networks are typically based on Kirchhoff's voltage and current laws, combined with the fluid dynamical equations of individual branches.

The aim of this thesis is to propose new estimation and control solutions for these systems and take benefit of the partial differential equations analysis to propose efficient algorithms that can be embedded in electronic control units. The theoretical results will be applied to car engines with EGR, on problems such as the estimation of gas composition, of time delays and of humidity, and such as optimal control design taking into account the transport phenomena.

This PhD is part of the European project EMPHYSIS (within the framework of ITEA3), whose European leader is Bosch and the French leader is Siemens PLM (https://itea3.org/project/emphysis.html).

Requirements:
The Ph.D. candidate should hold a Master degree in Automatic Control or Applied Mathematics, and have a keen interest in fluid dynamics.

Contact: emmanuel.witrant@univ-grenoble-alpes.fr, vincent.talon@renault.com
- CV with contact details
- Bachelor and master transcripts (including list of courses with corresponding grades)
- A summary of (or an e-link to) your master thesis
- Name and email of two references

Closing date for applications
01.05.2017

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5.4. PhD: KU Leuven, Belgium
Contributed by: Jan Swevers, jan.swevers@kuleuven.be

The KU Leuven, Department of Mechanical Engineering is searching for a young, motivated and skilled PhD researcher with a strong background in numerical optimization, systems and control, and robotics.

RESEARCH PROJECT: This project focuses on optimal contact-free motion control of serial robots operating in changing environments. Changing environments require real-time motion planning, which is very challenging due to complex robot kinematics and dynamics and continuously changing collision constraints. The overall project goal is to develop and experimentally validate an effective MPC approach for serial robots that realizes contact-free optimal robot motion planning and control in real-time. This research will be supported by an MPC toolchain development in order to integrate all software in an open and modular fashion as to create a workflow from problem specification to deployment. All developments will be validated experimentally on industrial robotic set-ups in the lab.

YOUR PROFILE: An ideal candidate has a master degree in engineering (mechanical, control ...) and a strong background in control and dynamic system modelling, robotics, numerical optimization, programming (Matlab, C/C++), a strong interest and experience in work on real-world experiments, and enthusiasm for the project. 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.

OUR OFFER: A fully funded PhD position for four years at the KU Leuven (more information for PhD students at the KU Leuven is found here). KU Leuven is among the top European universities and a hub for interdisciplinary research in the field of optimization. You will be embedded in the MECO research team of the department of Mechanical Engineering located at the campus in Leuven and the new mechatronics research group, established in 2015, and located at the campus in Bruges. Theoretical work and lab experiments, which will be the main part of the work, will be carried out at the campus in Leuven. Industrial applications will be implemented at the campus in Bruges.

APPLICATION PROCEDURE: To apply, send email to jan.swevers@kuleuven.be. Subject of your email should be: “ROBOT MPC PhD application”. Deadline: April 30, 2017! Include:
• an academic CV,
• 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.

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5.5. PhD: KU Leuven, Belgium
Contributed by: Goele Pipeleers, goele.pipeleers@kuleuven.be

One fully funded open PhD position at KU Leuven, Department of Mechanical Engineering
B-SPLINE BASED MOTION PLANNING AND MODEL PREDICTIVE CONTROL

The KU Leuven, Department of Mechanical Engineering is searching for a young, motivated and skilled PhD researcher with a strong background in numerical optimization, systems theory and control.

RESEARCH PROJECT:
In motion planning one seeks for the fastest, most energy efficient… trajectory to move a motion system from its current position to its destination, while accounting for the system’s kinematic and dynamic constraints and avoiding collisions with all obstacles in the environment. It plays a vital role in the control of autonomous guided vehicles, CNC machine tools, serial robots… As motion planning is often performed on line, in a model predictive control fashion, solving the resulting optimization problems efficiently and reliably is of the utmost importance. Recently, we have developed an effective motion planning method based on B-splines. The motion trajectory is parameterized as a polynomial spline and the properties of the B-spline basis functions are exploited to efficiently enforce constraints over the considered time horizon. The method is implemented in the open source Python toolbox OMGtools (https://github.com/meco-group/omg-tools). In this research project you will extend this motion planning approach to a broad range of systems, and in collaboration with experts in numerical optimization, you will supply it with tailored optimization routines. In addition, you will contribute to the underlying B-spline based optimization approaches and explore additional uses of these approaches in model predictive control.

YOUR PROFILE:
An ideal candidate holds a degree in engineering, computer science, or applied mathematics. He or she has a solid background in numerical optimization, systems theory and control, a strong interest and experience in mathematical programming (Matlab, Python, C/C++), and enthusiasm for scientific research. Team player mentality, independence, and problem solving skills are expected, and proficiency in English is a requirement.

OUR OFFER:
A fully funded PhD position for four years at the KU Leuven (more information for PhD students at the KU Leuven is found at https://www.kuleuven.be/personeel/jobsite/en/phd-info). KU Leuven is among the top European universities and a hub for interdisciplinary research in the field of control and optimization. You will be embedded in the MECO research team of the department of Mechanical Engineering (https://www.mech.kuleuven.be/en/pma/research/meco). The MECO research team focuses on the identification, analysis and control of mechatronic systems such as machine tools, active suspensions, robots... Herein theoretical developments are combined with experimental validations on lab-scale as well as industrial setups.

APPLICATION PROCEDURE:
To apply, send an email to goele.pipeleers@kuleuven.be with subject “BSpline PhD application”. Include:
* an academic CV
* 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, in case your mother to.ngue is neither Dutch nor English

Deadline: April 30, 2017

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5.6. PhD: University of South Florida, USA
Contributed by: Tansel Yucelen, yucelen@lacis.team

The Laboratory for Autonomy, Control, Information, and Systems (LACIS, http://www.LACIS.team/) at the University of South Florida is looking for exceptional doctoral students with solid background and creative skills. The LACIS is a highly-active research laboratory on systems and control with past and current projects from a diverse set of funding agencies, where the researchers at the LACIS have the opportunity to collaborate with many researchers around the world. These students to be hired are expected to perform high-quality research on distributed control and robust adaptive systems with applications to swarm of unmanned aerial and ground vehicles. Our intention is to give a strong guidance to maximize the chances of our students for building a rewarding career.

The intended start date for these open positions is Summer or Fall 2017. In addition, basic application requirements for these open positions include: 1) A Master of Science degree in a related field such as electrical engineering, mechanical engineering, aerospace engineering, or mathematics. 2) A strong record of courses taken related to systems and control (including, for example, linear control systems and nonlinear control systems). 3) If the candidates already have published and/or submitted research papers related to systems and control, this will be considered positively during the application process.

If you are interested in joining the LACIS to do transformative research, please send an email to Dr. Tansel Yucelen (yucelen@lacis.team), the Director of the LACIS, and include A) your resume (resume needs to include a list of undergraduate and graduate courses taken related to systems and control as well as mathematics - with grades on these courses, and it should also include list of published and/or submitted papers, if any) and B) a concise paragraph explaining your theoretical and experimental experience related to systems and control. Please also include contact information (name, affiliation, and email) of your current advisor and at least one other reference.

Dr. Tansel Yucelen
Assistant Professor of Mechanical Engineering
Director of the Laboratory for Autonomy, Control, Information, and Systems (LACIS, http://www.lacis.team)
Director of the Control Systems Forum (CSF, http://consys.forum.mst.edu/)
University of South Florida

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5.7. PhD: University of Connecticut
Contributed by: Abhishek Dutta, abhishek.dutta@uconn.edu

Two PhD positions are available starting in Summer or Fall 2017 in my group which is roughly based on robust design, control and learning in the departments of mechanical and electrical & computer engineering at the University of Connecticut. The research emphasizes theoretical analysis involving the interplay of dynamics, control and optimization under uncertainty and is strongly driven by two broad applications:

(i) Biology Track: Neuroscience (understanding and solving complex phenomena/disorders)
(ii) Mechatronics Track: Disaster management (weather related i.e. drought etc. amongst other humanitarian problems).

Both the projects would involve collaborations across disciplines and some product design and prototyping (undergrads may be available to help). Funding for buying equipments will be available.

A masters degree in electrical/mechanical engineering, applied mathematics with strong skills in controls, optimization, learning, mathematics and mechatronics is preferred. Some level of hands-on experience with hardware design is a bonus.

Please send in a 1 page cover letter describing background and research interests and a CV to:

Abhishek Dutta, Assistant Professor
School of Engineering
University of Connecticut
abhishek.dutta@uconn.edu

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5.8. PhD: Johannes Kepler University Linz, Autria
Contributed by: Nadja Aichinger, nadja.aichinger@jku.at

PhD: Johannes Kepler University Linz, Insititue for Design and Control of Mechatronical Systems, Autria;
Supervisor: Prof. Dr. Luigi del Re

Opening for PhD in the Field of Modeling and Control with Focus on Biomedical Applications

The Institute for Design and Control of Mechatronical Systems at the Johannes Kepler University in Linz, Austria, has a long tradition in performing control engineering research with a main focus on automotive and biomedical applications. There exist strong links with academic and industrial partners active in both areas. Besides other projects, the institute is currently involved in the development of control algorithms for adaptive, predictive replacement therapy for diabetes patients with type 2 diabetes. Furthermore, the institute is active in designing advanced algorithms for the data processing in continuous glucose monitoring (CGM) systems.
In this framework, a PhD position is available, initially for one year, which in the case of successful cooperation can be extended up to the end of the PhD study (typically 3 to 4 years).

The tasks associated to this position will include help in data analysis, integration of physiological understanding with modern modeling approaches, algorithmic development, participation in testing and evaluation, in the administration of projects, in teaching and in the direction of Bachelor and Master students in this field. The candidate should have a degree with a focus on automatic control or biomedical engineering, mathematics or computer sciences and be interested in the field of medical systems and stochastic models. Team player qualities are essential.

The salary will be between € 2.048,25/month gross (75%) and 2.731,00/month gross (100%) both 14 times a year.

The position can be filled anytime from 04/2017 to 10/2017.

For more information contact please Prof. Luigi del Re (luigi.delre@jku.at). Applications to be sent to: nadja.aichinger@jku.at.

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5.9. PhD: Luleå University of Technology, Sweden
Contributed by: George Nikolakopoulos, geonik@ltu.se

Two PhD- Student positions in Robotics
[Ref: 1070-2017]

The Robotic Team of the Control Engineering Group (CEG) at the department of Computer Science and Electrical and Space Engineering at Luleå University of Technology, is now looking for two PhD student positions contributing to our growing activities in the area of aerial and ground robotics. The PhD students will be part of a strong research team with intense expertise in the area of aerial field robotics and will have the pleasure to work in multiple European and National research projects in Robotics.

The research topics will focus in the following areas:

- Multiple camera view cooperative perception for UAVs
- Collaborative SLAM
- Cooperative Task allocation, scheduling and planning
- Aerial cooperative Visual Servoing
- Augmented Reality for robotics
- Event based constrained remote control
- Safe and robust navigation for aerial and ground robots in featureless or reduced feature environments (e.g. mines)
- Visual Odometry on low light environments
- Environmental perception and online mission configuration for UAVs
- 6D real time Localization for aerial and ground robotic applications in mines
- Ultra Wide Band Localization
- Field Robotics demonstration of the corresponding research topics outcomes

Duties:
The ideal candidate will perform research with substantial experimental components that should be published in peer-reviewed international journals and at major conferences. The position will include supervision of MSc students, Teaching Assistant tasks and support in acquire funding for future research projects from research funding agencies/councils, EU framework program or industry. The candidate will need to represent the group in different occasions, both in Sweden and abroad, as well as to have an excellence in speaking English. A doctoral student's main responsibility is to pursue doctoral studies with the aim to successfully defend a doctoral dissertation. The position may include departmental duties (typically teaching) with up to 20% of full-time employment.

Qualifications:
The research tasks require a solid mathematical background with proven advanced experimental capabilities and excellent programming skills (e.g. C++). The candidates should have a strong vision to evaluate and demonstrate the research findings in real life operating conditions, in an approach to close the gap among pure theory and experimental verifications.

Information:
For further information, please contact Professor George Nikolakopoulos +46 920 491298, geonik@ltu.se

Union representatives: SACO-Daina Dagis Daina.Dagis@ltu.se , +46 (0)920-493880 and OFR- Lars Frisk, Lars.Frisk@ltu.se +46 (0)920-491792

Luleå University of Technology is actively working on equality and diversity that contributes to a creative study- and work environment. The University's core values ​​are based on respect, trust, openness and responsibility.

Application:
The application should include a CV, personal motivation letter, reference letters, and copies of verified and translated diplomas Universities. Your application must be written in English. Mark your application with the reference number below.
Reference number: 1070-2017

Final day to apply:
2017-04-10

URL to this page:
https://www.ltu.se/ltu/Lediga-jobb?l=en&rmpage=job&rmjob=2181&rmlang=UK

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5.10. PhD: University of Leicester, UK
Contributed by: Matteo Rubagotti, matteo.rubagotti@le.ac.uk    

PhD Position University of Leicester (UK)
Supervisors: Dr Matteo Rubagotti and Prof Matthew Turner

Project title: Predictive control of an integrated energy storage facility

A fully funded PhD position is available for UK and EU students (subject to a competitive selection process) at the Computational Engineering and Control Group at the University of Leicester, UK.

Starting date: 25 September 2017.
Deadline for application: 10 April 2017, 12pm (midday).

Project description:

The research activity of this PhD proposal is aimed at designing and testing advanced control methods for the real-time management of an Integrated Energy Storage Test and Verification (IESTV) facility. The facility will include state-of-the art energy storage devices, and give the opportunity to design and test advanced algorithms that can have an impact on real-life implementations. The combined use of multiple storage systems (e.g., electrochemical batteries, supercapacitors, compressed air energy storage, and pumped hydro storage) can simultaneously exploit all their advantages, but requires the ability to manage their complex interaction in real time. The proposed PhD activity will be aimed at designing a strategy that takes into account the practical characteristics of the IESTV.
The energy flow to/from the IESTV will depend on the power demand, and the power produced by photovoltaic renewable sources. The designed management system will carry out the tasks of (a) deciding in real time how much power to be drawn from the grid, or possibly “selling” electricity to the grid itself in case of excess storage, and (b) how to split the storage between the elements taking operative constraints into account (e.g., limiting the charge/discharge cycles on batteries, or the depth of charge/discharge of the different elements). The management problem will be solved by continuously predicting the consumer demand and the future power flow from renewable energy sources (via weather forecast), and re-planning the optimal strategy in order to minimise the total energy consumption, or the overall expense for buying electricity from the grid. This approach is known as Model Predictive Control (MPC), a control technique that has been applied to many practical problems in industry, and is now, for instance, a standard in petrochemical plants.

Candidate profile:

Required:
- first class (or equivalent) bachelor-level degree in engineering or a relevant subject (to be obtained before 25th September 2017)
- strong background in control systems
- solid programming skills in Matlab
- fluency in English (written and verbal)
- ability to work independently

Desirable:
- Master's degree (at Merit/Distinction level) in engineering or a relevant subject
- knowledge of MPC, numerical optimisation techniques, and/or modelling of energy storage systems
- experience with interfacing control systems with physical processes (e.g. using dSPACE)

Detailed information and application procedure: https://www2.le.ac.uk/colleges/scieng/research/pgr/oct-2017/engineering/...

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5.11. PhD: European Southern Observatory, Germany
Contributed by: Niek Doelman, niekdoelman@strw.leidenuniv.nl

The European Southern Observatory (ESO) invites applications for a PhD position in Adaptive Optics Systems Engineering on 'Advanced Control Laws for Exoplanet Imaging Adaptive Optics'.

The successful applicant will be part of the Adaptive Optics Systems Group (SAOSY) of the System Engineering Department within the Directorate of Engineering. SAOSY supports telescope and instrument projects at ESO for what regards Adaptive Optics with the ultimate goal to provide the ESO astronomical community with worldwide competitive ground-based Adaptive Optics (AO) observing capabilities overcoming the limitation of atmospheric turbulence. The direct imaging of potentially habitable Exoplanets is one prime science case for ESO's 39-m Extremely Large Telescope, the E-ELT. In order to reach this demanding science goal with the dedicated instrument PCS (planetary camera and spectrograph), a comprehensive R&D programme for the key technologies has been developed. SAOSY is involved in the R&D of the extreme Adaptive Optics (XAO) system, which will control many thousands of actuators at a frame-rate of several Kilohertz. In order to achieve the highest possible imaging contrast, two major terms of XAO error budget have to be minimized:
A) The chromaticity of the refractive index of air leads to slightly different optical wavefronts at the science wavelength (NIR) and the AO wavefront sensing wavelength (red optical). The difference shows up as a residual wavefront error, which is proportional to the incoming uncorrected wavefront and dominates the error budget at the smallest angular separations.
B) The finite temporal correction bandwidth of the XAO system leads to an imperfect correction of very rapid changes of the wavefront, which dominate the residual error at somewhat larger angular separations.

Task Description
The student will first be asked to investigate how to minimize the effects of refractive index chromaticity and temporal bandwidth error on the XAO residual image by analyzing the nature of the problem. S/he will then propose adapted control algorithms and strategies to cope with the errors. After developing the concepts and verifying them through numerical simulations, the student should confirm the effectivity of the proposed concepts by experiment. ESO's Adaptive Optics laboratory provides a versatile test environment, the high-order test-bench (HOT), for this purpose. It might also be possible to implement and test these advanced control algorithms at the telescope using the SPHERE high-contrast imaging instrument at the VLT in Chile.

For further information, see https://recruitment.eso.org/.

Closing date for applications is 12 May 2017.

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5.12. PhD: Technical University of Kosice, Slovak Republic
Contributed by: Ivo Petras, ivo.petras@tuke.sk

PhD: Technical University of Kosice, FBERG, Slovak Republic

Multiple PhD positions in Process Control

PhD candidates should have a strong background in control engineering with an experience in mathematical modeling of systems. The topics of these positions are related to the fractional calculus and its application in mathematical modeling and control of systems.

Required qualifications of candidate:
1) Master degree in control engineering, electrical engineering, applied mathematics, or a related field
2) Excellent communication skills in English
3) Proficiency in some scientific programming language, such as MATLAB, or C/C++, etc.

To express interest, please send the following documents:
1) One page cover letter describing your research interests and background
2) CV or resume with contact details
3) Name and email of two references

To apply and for further information on positions, contact: prof. Ivo Petras, ivo.petras@tuke.sk
Closing date for applications: 31.05.2017

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5.13. PhD: University of Stuttgart, Germany
Contributed by: Frank Allgower, frank.allgower@ist.uni-stuttgart.de

PhD: University of Stuttgart, Germany

Multiple PhD positions in Intelligent Systems, including Control, at the new International Max Planck Research School for Intelligent Systems in Stuttgart and Tubingen, Germany

The Max Planck Institute for Intelligent Systems and the Universities of Stuttgart and Tubingen are collaborating to offer a new interdisciplinary Ph.D. program, the International Max Planck Research School for Intelligent Systems. This new doctoral program is starting in fall 2017 and will enroll about 100 Ph.D. students over the next six years.
This school is a key element of the state’s “Cyber Valley” initiative to accelerate basic research and commercial development in the broad field of artificial intelligence. Students are sought who want to earn a doctorate in the broad area of intelligent systems, including control systems.

The participating faculty are Frank Allgower, Matthias Bethge, Michael J. Black, Andres Bruhn, Peer Fischer, Andreas Geiger, Philipp Hennig, Katherine J. Kuchenbecker, Hendrik Lensch, Georg Martius, Ludovic Righetti, Stefan Schaal, Bernhard Scholkopf, Metin Sitti, Alexander Sprowitz, Ingo Steinwart, Marc Toussaint, Ulrike von Luxburg, and Felix Wichmann.

Intelligent systems that can successfully perceive, act, and learn in complex environments hold great potential for aiding society. To advance human knowledge in this domain, we need doctoral students who are curious, creative, and passionate about research to join our school. Learn more at http://imprs.is.mpg.de

All aspects of the program are in English. You may join our program in late summer or early fall 2017. You will be mentored by our internationally renowned faculty. You will register as a university graduate student and conduct research for approximately three years. You can take part in a wide variety of scientific seminars, advanced training workshops, and social activities. Your doctoral degree will be conferred when you successfully complete your Ph.D. project. Our dedicated coordinator will assist you throughout your time as a doctoral student.

People with a strong academic background and a master’s degree in Engineering, Computer Science, Cognitive Science, Mathematics, Control Theory, Neuroscience, Materials Science, Physics, or related fields should apply.

We seek to increase the number of women in areas where they are underrepresented, so we explicitly encourage women to apply. We are committed to employing more handicapped individuals and especially encourage them to apply. We are an equal opportunity employer and value diversity at our institutions.

Admission will be competitive. If selected, you will receive funding via an employment contract, subject to the rules of the Max Planck Society and the two participating universities.

In case of interest, please specify the desired main academic advisor with your application.

You can apply at http://imprs.is.mpg.de before midnight PST on April 17, 2017.

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5.14. PostDoc: National University of Singapore, Singapore
Contributed by: Shuzhi Sam Ge, samge@nus.edu.sg

Post-doctoral Research Fellow Positions at National University of Singapore on Learning Control of Semi-submersible Floatel under Shielding Effects

Job Place:
Robotics Research Lab/Social Robotics Lab, Electrical and Computer Engineering, National University of Singapore

Job Description:
Demand by use of floatel system to do maintenance of aging FPSOs (Floating Production Storage and Offloading) is expected to substantially increase in the near future. To ensure the smoothness, safety and efficiency of operation between floatel and FPSO, constant relative position and orientation between the floatel and FPSO has to be kept. Controlling the floatel becomes challenging once we consider the large amount of shielding effects due to FPSO in the vicinity. The research project will develop robust adaptive learning control schemes to compensate the shielding effects on the floatel and design an appropriate robust dynamic positioning control system for floatel to counteract against the environmental load and also react to follow with FPSO low frequency yaw motion.

Prospective candidates applying for this position will join a team working with researchers from both NUS and the offshore industry to develop control algorithms and software packages to maintain the relative position of the floatel. In particular, 1) a robust adaptive control scheme to be developed to compensate for shielding effects on the floatel; 2) a high fidelity and efficient simulation software package to be developed to assist control designing and verification process, and provide understanding for actual implementation.

Qualifications:

• Post-doctoral Research Fellow on Intelligent Control Design and Development
- Active, energetic and optimistic young researcher.
- PhD in with a background in control modelling and designing.
- Strong mathematics and good programming skills.
- Excellent communicator, ability to working in great team and learn quickly and enthusiastically.
- Project management experience
- Preferably working experience on software development and system integration in relevant subjects.

• Post-doctoral Research Fellow on User-friendly Dynamic Positioning Simulation Software Development
- Active, energetic and optimistic young researcher.
- PhD in with a background in electrical engineering.
- Good mathematics and Strong programming (C/C++) skills.
- Excellent communicator, ability to working in great team and learn quickly and enthusiastically.
- Project management experience
- Preferably working experience on software development and system integration in relevant subjects.

Remunerations will be commensurate with qualifications and experience. Qualified candidates are invited to express their interest in applying the position by sending us the following documentations to us by email: samge@nus.edu.sg:

1. Detailed CV (resume).
2. Copies of recent representative works (publications, project summaries and etc).
3. Any other supporting documents that can display working experiences in related areas.

Shuzhi Sam Ge
Professor, Fellows of IEEE, IFAC, IET, and Academy of Engineering (SG),
Director of Robotics Research Laboratory/ Social Robotics Laboratory,
National University of Singapore

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5.15. PostDoc: Cornell University, USA
Contributed by: Elaine Shi, elaine@cs.cornell.edu

The Computer Science Department of Cornell University is seeking a postdoctoral researcher to work on the security of Cyber-Physical Systems. The postdoctoral researcher will be hosted in Cornell University, Ithaca, NY.

An ideal candidate for this position should have or be expecting a Ph.D. degree or equivalent from Computer Science, Electrical Engineering, or equivalent, and should be familar with a subset but not necessarily all of the following:

-- secure software/hardware systems
-- program analysis
-- cyber-physical systems
-- control systems

The postdoctoral position is for 1 year and based on performance, renewable up to 3 years.

To apply for this position, please contact Prof. Elaine Shi (elaine at cs dot cornell dot edu).
There is no deadline for application.

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5.16. PostDoc: Luleå University of Technology, Sweden
Contributed by: George Nikolakopoulos, geonik@ltu.se

Post Doctoral position in control engineering with specialization in robotics
[Ref: 1069-2017]

The Robotic Team of the Control Engineering Group (CEG) at the Department of Computer Science and Electrical and Space Engineering at Luleå University of Technology, is now looking for one Post Doctoral contributing to our growing activities in the area of aerial an ground robotics. The candidate will be part of a strong research team with intense expertise in the area of aerial field robotics and will have the pleasure to work in multiple European and National research projects in Robotics, while contributing to the vision and goals of the group. The contract for this position will be one year, with possibility to be extended up to 2 years in total.

Project description

Characteristic, but not limited, research topics will focus in the following areas:
- Vision for Robotics
- Multiple camera views cooperative perception for UAVs
- Collaborative SLAM
- Cooperative Task allocation, scheduling and planning
- Aerial cooperative Visual Servoing
- Augmented Reality for robotics
- Event based constrained remote control
- Safe and robust navigation for aerial and ground robots in featureless or reduced feature environments (e.g. mines)
- Visual Odometry on low light environments
- Environmental perception and online mission configuration for UAVs
- 6D real time Localization for aerial and ground robotic applications in mines
- Ultra Wide Band Localization
- Field Robotics demonstration of the corresponding research topics outcomes

Qualifications:
The research tasks require a solid mathematical background with proven advanced experimental capabilities and excellent programming skills (e.g. C++). The candidate should have a strong vision to evaluate and demonstrate the research findings in real life operating conditions, in an approach to close the gap among pure theory and experimental verifications. Part of the everyday work of the Post Doc will be also linked with management of the LTU tasks in the project Horizon 2020 project SIMS (http://www.simsmining.eu/). A PhD diploma in engineering is also a must to have qualification.

Duties:
The ideal candidate will perform research with substantial experimental components that should be published in peer-reviewed international journals and at major conferences. The position will include supervision of MSc students, teaching and support in acquire funding for future research projects from research funding agencies/councils, EU framework program or industry. The candidate will need to represent the group in different occasions, both in Sweden and abroad, as well as to have an excellence in speaking English.

Information:
For further information, please contact Professor George Nikolakopoulos +46 920 491298, geonik@ltu.se

Union representatives: SACO-Daina Dagis Daina.Dagis@ltu.se , +46 (0)920-493880 and OFR- Lars Frisk, Lars.Frisk@ltu.se +46 (0)920-491792

Luleå University of Technology is actively working on equality and diversity that contributes to a creative study- and work environment. The University's core values ​​are based on respect, trust, openness and responsibility.

Application:
Final day to apply: 2017-04-10

Application URL:
https://www.ltu.se/ltu/Lediga-jobb?l=en&rmpage=job&rmjob=2183&rmlang=UK

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5.17. PostDoc: University of Leicester, UK
Contributed by: Matthew Turner, mct6@le.ac.uk

Post-doc: University of Leicester, UK

Applications are invited for a post-doctoral research associate in the area of constrained adaptive control systems. The research is funded by the EPSRC and is available until February 2019. The successful candidate will have a good first degree in a relevant subject (engineering, mathematics or computer science) and have, or be in the process of completing, a PhD in an area of control engineering. The candidate should have a good understanding of nonlinear control systems and some experience with constrained control systems and, in particular, anti-windup would be advantageous. The research associate will be encouraged to scrutinise carefully adaptive control algorithms and so applications will be welcomed from both candidates with a traditional adaptive control background, but also from candidates with experience in other relevant areas such as robust control. Part of the work will involve the development and assessment of adaptive control algorithms for constrained systems, and part of the work will be practical, involving the validation of these algorithms on real systems. The post would therefore suit candidates with both strong theoretical backgrounds and also an appreciation of practical implementation of controllers.

Application: Please follow the process described at:

http://ig5.i-grasp.com/fe/tpl_UniversityOfLeicester01.asp?newms=jjid=988...

Informal enquiries: Dr. Matthew Turner (mct6@le.ac.uk)

Closing date: 13th April 2017

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5.18. Research Fellow: University of Hull, UK
Contributed by: Ron J Patton, r.j.patton@hull.ac.uk

Research Fellow: Fault-tolerant control and dependable systems engineering
The University of Hull, Kingston-upon-Hull, UK

Deadline for applications: 18th April.

Following the very successful developments led by Professor Ron Patton the University of Hull has available a full-time Senior Research Fellowship in Fault-tolerant Control for a 5 year fixed term structured-research development programme period from June 1st 2017.

This is one of seven important research only fellowships being offered by the University within a developing research institute focused on the interface between sustainable energy and environmental resilience.

A researcher with suitable focus and experience in fault tolerant control will make an important contribution to a rapidly growing team of expertise in the application of control and dependable engineering systems to renewable marine energy systems (wave, wind, tidal). The research will continue a strategy of developing overseas partnerships with other international research teams focussed on the enhancement of sustainable, reliable, efficient and dependable fault tolerant control operation, using advanced control methods encompassing robustness, nonlinear strategies, adaptive control estimation.

We welcome applicants who are engaged in research fellowships in the UK or abroad who have a substantial record of appropriate archival publication and who have proven ability to attract research grant funding. Information about the application procedure can be found at:

http://www.jobs.ac.uk/job/AYC766/university-research-fellowships/

Please contact Professor Ron Patton for further information about the fellowship role.

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5.19. Faculty: Delft University of Technology, The Netherlands
Contributed by: Rudy Negenborn, r.r.negenborn@tudelft.nl

Assistant Professor "Quantitative Methods for Large-Scale Transport Systems and Logistics"

The Dept. of Maritime & Transport Technology at Delft University of Technology (TU Delft) is seeking an Assistant Professor of Quantitative Methods for Large-Scale Transport Systems and Logistics, with a particular fascination in control for large-scale (stochastic) vehicle routing and waterborne/maritime/port applications.

You will work on challenges at the equipment, system, and network levels. You will make an active contribution to the group’s research and education curriculum for both the Bachelor and Master programmes. You will develop and give lectures and supervise Master students in their final year. Initiating and carrying out high-level research projects and publishing research in leading journals are essential parts of the job.

Applicants should have the following qualifications:
• A PhD and strong track record in the domain of large-scale transport engineering and logistics;
• Knowledge of (stochastic) vehicle routing, operations research, mathematical modelling, (distributed) control & optimisation heuristics, relevant simulation and analysis software;
• Excellent scientific credentials;
• Experience with and ability to work in teams in an academic, interdisciplinary environment with mechanical engineers as well as people in other disciplines;
• Excellent didactic qualities and experience in teaching.

A tenure-track position is offered for six years. Based on performance indicators agreed upon at the start of the appointment, a decision will be made by the fifth year whether to offer you a permanent faculty position.

See for more application information:
https://www.academictransfer.com/employer/TUD/vacancy/39049/lang/en/

Application deadline: May 1, 2017

For more information about this position, please contact:

Rudy Negenborn,
Associate Professor
Control & Coordination for Real-Time Logistics
Delft University of Technology, The Netherlands

phone: +31 (0)15-2786718
e-mail: R.R.Negenborn@tudelft.nl.

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5.20. Faculty: IMT School for Advanced Studies Lucca, Italy
Contributed by: IMT School for Advanced Studies, scouting@imtlucca.it

IMT School for Advanced Studies Lucca invites expressions of interest for positions in Cyber security at different levels of seniority, from early career onward. Candidates should have experience or willingness to work in the area of cyber security broadly construed, ideally complementing IMT's current strengths. Topics of interest include (but are not limited to):
•access control;
•distributed ledgers;
•formal verification of security protocols;
•network security;
•security requirements elicitation;
•web security.

Since multidisciplinary research is a founding value of the School, inclination to work at the intersection with other core disciplines of IMT relevant to cybersecurity will be considered an asset. We seek to hire fixed-term (i.e., non tenure-track) and tenure-track assistant professors and tenured associate professors.

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5.21. Faculty: IMT School for Advanced Studies Lucca, Italy
Contributed by: Alberto Bemporad, alberto.bemporad@imtlucca.it

Assistant Professor position in Systems, Control, and Optimization at IMT Lucca.

IMT School for Advanced Studies Lucca invites expressions of interest for an Assistant Professor position (“Type-A Ricercatore”) to carry out research in the areas of systems, control, and optimization. Research experience is expected in one of the following areas: control systems, numerical optimization, systems identification, machine learning. Research experience in model predictive control or convex optimization will be considered as a plus.

Candidates must have an excellent record of high-impact international publications and demonstrate enthusiasm for performing research. Activities include: research, tutorship and mentoring of PhD students, graduate teaching. The successful candidate will be part of the research unit Dynamical Systems, Control and Optimization (http://dysco.imtlucca.it/) at IMT Lucca.

The position is for 3 years, extendable for further 2 years. The indicative starting gross salary is EUR 34.898/year, net income may vary depending on income taxes, local taxes, retirement plan, health care deduction and tax exemptions. New employees who have worked in research-based positions abroad for the past two years may be eligible for a substantial tax rebate for the first three fiscal years of employment.

IMT School for Advanced Studies Lucca (http://www.imtlucca.it) is a public graduate school and research institute, ranked #1 among all public Italian universities for quality of research in the last national research evaluation. IMT is an interdisciplinary research environment, blending scientific competencies of management science, engineering, computer science, neuroscience, physics, and management of cultural heritage, striving to reach the fusion of theoretical comprehension and practical relevance in concrete applications. The working language at IMT Lucca is English.

For further information about the position, applicants can refer to the website

https://www.imtlucca.it/school/job-opportunities/academic/international-...

The deadline for applications is June 5, 2017.

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5.22. Engineer: CROASAEN, USA
Contributed by: Eunjeong Lee, elee@croasaen.com

CFD Engineer: CROASAEN

Harvard robotics startup CROASAEN (Create Robots and Save Energy) is looking for research scientists with strong background on Computational Fluid Dynamic simulations inside gas, oil, or multi-phase pipelines.

We are developing a bi-directional internal pipeline repair/inspection robot for oil/gas industry. Our motivation to develop an internal pipeline repair robot stems from the needs to mitigate methane emission from pipelines for climate change, and the desire to ensure pipeline safety to protect life and infrastructures from accidents. Our world-class team aims to commercialize our robot by 2019. Our operation involves global manufacturers and super oil major companies in the US, France, Netherlands, Germany, Korea, Norway, China, Saudi Arabia, Switzerland, etc. We are located in Cambridge, MA, the center of creativity, innovation, and entrepreneurship. We contribute more than ten percent of our equity to educational outreach for the Middle Eastern refugees in Europe. We offer a generous compensation and stock option.

If you are a highly talented CFD scientist, please join us to design and analyze the robot operation inside live oil and gas pipelines.

Job Responsibilities
- Perform CFD analysis on the robotic system in gas, oil, or multi-phase pipeline flows
- Help design robot components based on the CFD analysis
- Work with robotics and control engineers to iteratively predict performance and improve designs through detailed CFD simulations and experiments
- Work with testing engineers to cross validate test results and CFD simulation results
- Create simulation reports and provide design recommendations
- Publish in prestigious journals and conferences
- Write proposals

Qualifications and Desired Skills
- MS or PhD in Mechanical Engineering, Aerospace Engineering, Ocean Engineering, or related field
- 2+ years of industry/academic experience in CFD
- Strong CFD capability is a must (ANSYS, OpenFOAM, or both)
- CFD experiences with rotating turbo-machinery strongly desired
- Strong CFD experience for robotic propulsion or robotic fish is desirable
- Creativity, imagination and innovation
- Strive to perform at the highest level and challenge the impossible
- Experience in soft robotics or robotic fish is a plus
- Familiarity with 3D CAD modeling (preferably SolidWorks) is a plus
- Consideration for others to work as a team and self-motivation
- Ability to work with a fast-paced development schedule for commercialization
- Strong verbal and written communication skills

Application: send CV and cover letter to Eunjeong Lee, elee@croasaen.com

 

Additional Resources:

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