Postdoc: Safe Reinforcement Learning for Motion Planning: Simulator
An open-source real-world simulation environment will be built by incorporating physics engine and perception algorithms to test reinforcement learning …
- Mekelweg, Delft, Zuid-Holland
- Tijdelijk contract / Tijdelijke opdracht
- Uren per week:
- 38 - 38 uur
- € 3255 - € 4274 per maand
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.
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.
If you have specific questions about this position, please contact Dr. Wei Pan, e-mail: firstname.lastname@example.org. Please do not send application emails here but use the specified address below.
To apply, please prepare:
1. a cover letter
2. a separate letter of motivation explaining why you are the right candidate for this project
3. a detailed CV,
4. electronic copies of your top three publications,
5. the names and contact addresses of two or three references,
6. any other information that might be relevant to your application.
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.
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