[robotics-worldwide] [jobs] Postdoctoral position in motion planning self-driving cars TUDelft

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[robotics-worldwide] [jobs] Postdoctoral position in motion planning self-driving cars TUDelft

Javier Alonso-Mora
The Intelligent Vehicles section at TU Delft (The Netherlands) invites
applications for a fully funded Post-Doctoral Researcher position in
the project “Safe interaction of automated vehicles with Vulnerable
Road Users (SafeVRU)”.

Automated driving functions are rapidly deployed for highway driving.
Meanwhile, TU Delft is focussing on the next challenge, automated
driving in complex urban traffic and interaction with vulnerable road
users (VRUs), such as pedestrians and cyclists.

SafeVRU will develop sensing, intent recognition and vehicle control
strategies for the interaction of automated vehicles with VRUs. The
Post-Doctoral Researcher will focus on motion planning and vehicle
control components. (S)He will interact with two PhD candidates that
are working on environment perception within the project. The
developed SafeVRU methodologies will be validated offline (using
recorded data) and online by means of virtual reality labs and vehicle
demonstrators, all in realistic conditions.

A hybrid control strategy is envisioned, where discrete decisions
(e.g. stop or evade), based on rule-based (symbolic) reasoning, are
combined with optimization of motion trajectories and control in the
continuous domain, while taking into account vehicle dynamics. The
control strategy will preferably result in a driving style that is
both comfortable for the vehicle passengers and that is well
interpretable by VRUs on the road (e.g. by using early deceleration,
communicating to the VRUs the vehicle’s intention to stop).

Requirements Applicants preferably have (or will soon obtain) a PhD
degree related to Control Theory, Mechanical/Electrical Engineering,
Computer Science or Applied Mathematics.

We are seeking a researcher with a strong interest in performing
cutting-edge research in a very active and exciting research area
(i.e. self-driving cars by Google, Apple and the automotive industry).
Prospective applicants should have an excellent academic record with a
solid background in path planning and control theory, preferably in an
automotive context. Good software development skills are expected,
preferably in C++ and MATLAB/Python. Affinity for turning complex
concepts into real-world practice (i.e. vehicle demonstrators) is
desired. The successful applicant(s) will be able to conduct work
independently as well as collaborate effectively with members of a
larger team. Good English skills are required.

Conditions of employment The TU Delft offers a customizable
compensation package, a discount for health insurance and sport
memberships, and a monthly work costs contribution. Flexible work
schedules can be arranged. An International Children’s Centre offers
childcare and an international primary school. Dual Career Services
offers support to accompanying partners. Salary and benefits are in
accordance with the Collective Labour Agreement for Dutch

Information and application For more information about this position,
please contact Riender Happee, phone: +31 (0)15-2783213, e-mail:
[hidden email]. To apply, please e-mail a detailed CV including
your interest, experience, courses and grades at the Master and
Bachelor level, publications, and references to be contacted. Please
e-mail your application to [hidden email] and
[hidden email]. When applying for this position, please refer to
vacancy number 3ME16-50 in the subject of your email.

More information:


Dr. Javier Alonso-Mora, Assistant Professor
Autonomous Multi-Robots Lab, Cognitive Robotics, 3mE
Delft University of Technology
Mekelweg 2, Room C-2-310, 2628 CD Delft, Netherlands
Phone: +31 152 785 489, Web: www.alonsomora.com
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