TU Delft

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Originele vacaturetekst

Postdoc: Safe Reinforcement Learning for Motion Planning: Simulator

Faculty Mechanical, Maritime and Materials Engineering

Faculty Mechanical, Maritime and Materials Engineering

The faculty Mechanical, Maritime and Materials Engineering (3mE) trains committed engineering students, PhD candidates and post-doctoral researchers in ground-breaking scientific research in the fields of mechanical, maritime and materials engineering. 3mE is the epitome of a dynamic, innovative faculty, with a European scope that contributes demonstrable economic and social benefits.

The main focus of the Cognitive Robotics department is the development of intelligent robots and vehicles that will advance mobility, productivity and quality of life. Our mission is to bring robotic solutions to human-inhabited environments, focusing on research in the areas of machine perception, motion planning and control, machine learning, automatic control and physical interaction of intelligent machines with humans. We combine fundamental research with work on physical demonstrators in areas such as self-driving vehicles, collaborative industrial robots, mobile manipulators and haptic interfaces. Strong collaborations exist with cross-faculty institutes TU Delft Robotics Institute and TU Delft Transport Institute), our national robotic ecosystem (RoboValley, Holland Robotics) and international industry and academia.  

Functie omschrijving

An open-source real-world simulation environment will be built by incorporating physics engine and perception algorithms to test reinforcement learning algorithms. The PostDoc will establish a standard test set that considers multiple influencing factors such as multiple platforms, multiple operating conditions and multiple system configurations. A flexible and reliable task configuration reference standard for different scenarios can be derived. In this project, we will collaborate with AnkoBot to develop novel smart and safe cleaning robots’ concepts. 

Functie eisen

The candidate is expected to have background and interest in control theory, machine learning and software/hardware system development. Knowledge on unmanned system, motion planning, and/or ROS will be an advantage. The applicant should have demonstrated ability to conduct high-quality re-search according to international standards, as demonstrated by publications in international, high-quality journals. A very good command of the English language is required, as well as excellent communication skills. 


TU Delft offers a customisable 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 Universities. 

Informeren en solliciteren

If you have specific questions about this position, please contact Dr. Wei Pan, e-mail: wei.pan@tudelft.nl. Please do not send application emails here but use the specified address below.

To apply, please prepare:

  1. a letter of motivation explaining why you are the right candidate for this project,

  2. a detailed CV,

  3. electronic copies of your top three publications,

  4. the names and contact addresses of two or three references.

All these items should be combined in one PDF document. Applications should be submitted by email at the earliest convenience to application-3mE@tudelft.nl. When applying for this position, please refer to vacancy number 3mE19-111.

The review of applications will start on January 15, 2020 and continue until the position is filled. The intended starting date is as soon as possible.

Acquisitie naar aanleiding van deze vacature wordt niet op prijs gesteld.

Uren per week: 38.0 uur per week

Salaris: € 327,67 per maand