The Intelligent Vehicles section at the TU Delft, the Netherlands, invites applications for a fully a funded Post-Doctoral research position for the project “Safe interaction of automated vehicles with vulnerable road users” (SafeVRU).
SafeVRU will develop sensing, intent recognition, and vehicle control strategies for the interaction of automated vehicles with vulnerable road users (VRUs) such as pedestrians and cyclists. Two PhD candidates will focus on VRU detection, classification and intent recognition.
The post-doctoral researcher will be responsible for path planning, interactive control and system integration. The SafeVRU technologies will be validated using real world data, virtual reality labs and fully automated vehicles. The control strategies will optimize safety by communicating intentions of the AV to the VRU. These intentions will be made apparent from the vehicle motion, for instance, using early deceleration, communicating the intention to stop. In addition the AV will present visual and auditory cues to communicate its intentions. Vehicle control strategies will combine rule-based, discrete decisions (e.g. stop or evade), path planning and continuous control, taking into account vehicle dynamics and road friction limitations. To address the challenging problem of controlling dynamical systems with logical constraints, we aim to employ a two-stage approach:
- The general planning and logical decisions will be taken employing symbolic methods on a coarse dynamical model of the vehicle but sufficiently precise to return feasible trajectories.
- A lower level of path planning based on optimal control approaches will then fine-tune the trajectories, employing a more detailed dynamical model.
Both of these levels of planning will encode in logical statements the safety and comfort rules (for the riders of the vehicle and the VRU).
Requirements Applicants preferably have (or will soon obtain) a PhD degree related to Control Theory, Mechanical/Electrical Engineering, 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 Universities.
Information and application For more information about this position, please contact Riender Happee, phone: +31 (0)15-2783213, e-mail: R.Happee@tudelft.nl. 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 Application-3mE@tudelft.nl and R.Happee@tudelft.nl. When applying for this position, please refer to vacancy number 3ME16-50 in the subject of your email.
|Salary (first year)||3044|
|Salary (last year)||3756|
|Application deadline||As soon as possible|