Postdoc in Mixed model- and learning-based prediction of human road users
This post-doc position will expose you to one of the most challenging and exciting problems in motion planning and control of autonomous vehicles. You will be given the unique opportunity to access an exclusive combination of datasets and experimental infrastructure and collaborate with a mixed academic and industrial research team leading the development of cutting-edge autonomous driving technologies.
Project description
The successful candidate will join a team of Ph. D. students, engaged in neighboring research, and is expected to contribute to the design of learning and prediction algorithms for humans' behavior in traffic. If possible and relevant, the achieved results will be demonstrated through experiments on full-scale vehicles and in collaboration with our industrial partners.
The research project is in collaboration with Ericsson and Zenuity and is strongly connected with ongoing research projects within the WASP (Walleberg Autonomous Systems Program).
More details and how to apply at: https://www.chalmers.se/en/about-chalmers/Working-at-Chalmers/Vacancies/Pages/default.aspx?rmpage=job&rmjob=11189&rmlang=UK
Application deadline: 02-01-2023
