Deadline 31st of May
The successful candidate will participate in a joint project with Volvo Cars on vehicle motion control using data-driven varying road friction map. There are experienced researchers participating from both Volvo Cars and Chalmers university. Together with a PhD student, you will be the key person carrying out the research and your responsibility will be the estimation of the varying friction map in front of the vehicle. This estimate is based on several information sources, both onboard sensors, mainly the front cameras as well as lidars, but also on information communicated from the cloud. The estimated friction map will be evaluated with a set of measures such as confidence, accuracy and uncertainty, so the feasibility for application in vehicle motion control is well defined. The project and the support of engineers at Volvo Cars gives you unique possibilities to implement the algorithms in test vehicles and obtain experimental results from your theoretical research.
Qualifications; By the starting date, the applicant should have a PhD (or close to completion) in signal processing, image processing, control theory, applied mathematics or neighboring relevant field. Experience from research and development within relevant technical area including Bayesian estimator methods as well as machine learning. It is beneficial if you possess knowledge in vehicle dynamics.
For more information and instructions how to apply, see
https://www.chalmers.se/en/about-chalmers/Working-at-Chalmers/Vacancies/Pages/default.aspx?rmpage=job&rmjob=9477
You are also welcome to contact me, jonas.sjoberg@chalmers.se
