Postdoc in Data-Driven Varying Road Friction Map

Are you looking for a position where you can develop your scientific skills in vehicle state estimation, continue to build on your technical skills as well as building and maintaining a network that includes people from both the leading automotive industry and academia? Then you should seriously consider this position at Chalmers. You have the chance to take part in the development of life-saving technology in the borderland between academia and industry.

Project description
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.

The position is at the division of Systems and Control within the Mechatronics group at Chalmers, where a team of PhD students, post-docs and senior researchers is working projects concerning modeling , design and control with several application areas. Many projects concern traffic safety and autonomous driving. The group is a part of the Department of Electrical Engineering (E2), which to a large extent deals with the modeling and development of efficient systems for extracting and processing information.

Major responsibilities
The working time of post doctoral staff is mainly devoted to research. Undergraduate teaching duties, not
exceeding 20% of the working time, may include supervision of MSc or BSc students.

Contract terms
The appointment is a full time temporary employment (not a scholarship) for a period of not more than two years.

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. The degree should generally not be older than three years. 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.

Appropriate programing skills are required is welcome. A genuine interest and curiosity in the subject, ability to initiate new research collaborations, excellent oral and written English communication skills are needed.

Chalmers continuously strives to be an attractive employer. Equality and diversity are substantial foundations in all activities at Chalmers.

Our offer to you
Chalmers offers a cultivating and inspiring working environment in the dynamic city of Gothenburg. 
Read more about working at Chalmers and our benefits for employees.

Application procedure
Learn more and apply here: https://www.chalmers.se/en/about-chalmers/Working-at-Chalmers/Vacancies/Pages/default.aspx?rmpage=job&rmjob=9477
 
Application deadline: 31 May, 2021