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Postdoc position in Mechanical Engineering, Electrical Engineering, Computer Science, Applied Mathematics, Robotics

The Netherlands, Wageningen University & Research (WUR)

The Dynamical Systems Design (DSD) division at TU/e invites applications for a Postdoc position in Contextual Intention Prediction For Collaborative Robot Interactions, in the Netherlands – Dec 2021

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General Info

Position: Postdoc position
No. of Positions: 1
Research Field: ,
Joining Date: ASAP
Contract Period: 2 Years
Salary: According to Standard Norms

Workplace:
Dynamical Systems Design (DSD) Division
Department of Mechanical Engineering at TU/e
Eindhoven University of Technology (TU/e)
Eindhoven,

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Qualification Details

We are looking for a talented and enthusiastic postdoctoral researcher who meet the following requirements:

  • A PhD degree (or equivalent) in Mechanical Engineering, Electrical Engineering, Computer Science, Applied Mathematics, Robotics, or related disciplines.
  • Strong analytical skills and solid background on robotics, machine learning, and/or machine perception.
  • Excellent programming skills in Python and/or C++, and preferably hands-on experience with ROS, Gazebo, and real robot hardware.
  • Excellent communication (academic writing, speaking and presentation) skills in English.
  • An independent, creative problem solver and a pro-active, responsible team player.

Responsibilities/Job Description

Automation and robotics technology is witnessing a shift from individual robots that can perform a specific task in known and structured environments towards collaborative robots that can interact with people and other robots to complete more diverse and complex tasks in unknown and unstructured settings. This requires robots to better understand and predict people, other robots, and their surroundings to engage in finer collaborative interactions. The capability of “reading others’ minds” (i.e., intention prediction) from the observed actions of others and the environmental/task content is fundamental for robots to anticipate the future and to be better prepared for performing shared tasks with others in dynamic settings. The Dynamics & Control (D&C) and Control Systems Technology  (CST) Groups of the Department of Mechanical Engineering is looking for a new highly motivated group member to conduct high-risk, high-gain fundamental and applied research on intention prediction for collaborative robot interactions. You will also be affiliated with the Eindhoven Artificial Intelligence Systems Institute (EAISI). You will work in a dynamic and ambitious academic environment and have many opportunities to cooperate with both D&C, CST, and EAISI members and to present your research at leading AI & Robotics conferences and journals.

In this project, you will develop new learning-based context-aware intention prediction algorithms for robotic decision making in collaborative human-robot and multi-robot tasks. We aim at combining data-driven learning algorithms with model-based prediction approaches in different scenarios including, but not limited to, cooperative human-robot games and socially aware robot navigation around people and other robots.

How to Apply?

Online Application through "Apply Now" Button from this page

Reference Number: V35.5291
(If any, use it in the necessary place)

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Documents Required

  • Cover Letter, in which you describe your motivation and qualifications for the research position (no more than two A4 pages).
  • Curriculum Vitae, including relevant research experiences, a list of publications, and the contact information of three references.
  • Bachelor’s, Master’s, and PhD Transcripts (if applicable).
  • Brief summary of your PhD thesis (no more than one A4 page), a copy of two selected publications and your PhD thesis (if applicable).

We do not respond to applications that are sent to us in a different way.

Please keep in mind you can upload only 5 documents up to 2 MB each. If necessary, please combine files.

We look forward to your application and will screen it as soon as we have received it. Screening will continue until the position has been filled.

About the Project/Department

Dynamical Systems Design (DSD) Division

The Dynamical Systems Design (DSD) division at TU/e trains the next generation of students to understand and predict the dynamics of complex engineering systems in order to develop advanced control, estimation, planning, and learning strategies which are at the core of the intelligent autonomous systems of the future. Autonomous vehicles, fully automated industrial value chains, high-tech systems, collaborative robots in unstructured environments, intelligent medical devices, automated transportation networks, soft robotics, together with sustainable automotive technology are key examples of the broad application domain of the DSD division. The design of these systems requires a thorough understanding of their underlying dynamics. Therefore, the first focal point of our research is on both data-based and first-principles-based modelling, model complexity management, and dynamic analysis of complex, multi-physics and multi-disciplinary engineering systems. Building on this foundation, our second focal point is on “making autonomous systems smarter”. To this end, we develop both model- and data-based sensing, planning, and learning and control technologies to provide autonomous systems with the intelligence needed to guarantee performance, robustness, and safety. Combining the investigation on both dynamics and control theory in one section allows to take on these challenges standing in a privileged position. In particular, it enables us to educate uniquely skilled engineers and researchers as well as to valorize our research together with the high-tech, automotive and energy sectors.

Department of Mechanical Engineering at TU/e

The Department of Mechanical Engineering is a core part of TU Eindhoven since the foundation of the university in 1956. Education and research are closely linked and belong to the core activities of the department. The Department of Mechanical Engineering offers a bachelor program and several master programs for approximately 1,500 students. Our research focuses on three knowledge pillars: Computational and Experimental Mechanics (CEM), Thermo Fluids Engineering (TFE), and Dynamical Systems Design (DSD). Our scientific staff (including more than 150 PhD students and post-docs) conduct active research in these fields organized at seven independent research groups. You will be affiliated with the Dynamics & Control and Control Systems Technology groups of the Dynamical Systems Design division.

About the Employer: Eindhoven University of Technology (TU/e)

Note or Other details

  • A challenging job in a dynamic and ambitious university.
  • A full-time employment for two years (starting as soon as possible).
  • To support your professional development and to prepare you for the career step, you will have free access to a personal development program for postdocs training programs.
  • A gross monthly salary and benefits in accordance with the Collective Labor Agreement for Dutch Universities.
  • Additionally, an annual holiday allowance of 8% of the yearly salary, plus a year-end allowance of 8.3% of the annual salary.
  • The possibility (for overseas applicants) to apply for the 30% tax regulation in order to get a higher net salary.  If the tax office approves your application for the 30% regulation, you will receive a higher net amount per month for a maximum of five years.
  • An attractive package of fringe benefits, including an excellent technical infrastructure, child daycare, and excellent sport facilities at our campus.
  • Family-friendly initiatives are in place, such as an international spouse program, and excellent on-campus children day care and sports facilities.

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Contact details

For more information about the position and the research project, please contactdr. Ömür Arslan (o.arslan[at]tue.nl) and dr. Elena Torta (e.torta[at]tue.nl).

More information about the employment conditions, please can be found here or contact HRServices.Gemini[at]tue.nl.

Please visit www.tue.nl/jobs to find out more about working at TU/e!

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