Post-doc position in Filtering and prediction for autonomous driving appl.

At the Department of Signals and Systems, we conduct internationally renowned research in biomedical engineering, antenna systems, signal processing, image analysis, automatic control, automation, mechatronics, and communication systems. We offer a dynamic and international research environment with about 150 employees from more than 20 countries, and with extensive national and international research collaborations with academia, industry and society. The department provides more than 70 courses, of which most are included in the Master’s Programs ”Biomedical Engineering”, ”Systems, Control and Mechatronics”, and ”Communication Engineering”.

Read more at www.chalmers.se/en/departments/s2

Information about the research/the project/the division
We invite applications for one post-doctoral position in decision-making and control for autonomous driving applications. The candidate will join a team of post-doc and Ph. D. students engaged in similar research. At the Mechatronics Group of the Signals and Systems Department, we are engaged in both fundamental and applied research related to intelligent transportation systems. Ongoing research projects focus on the design and the experimental validation of control algorithms for autonomous vehicles operating in complex urban environments. We consider both cooperative and non-cooperative settings, where the challenges are the cooperative control over wireless networks and the recognition of others' intent, respectively. Our research is, where possible, validated through experiments on full-scale vehicles and in collaboration with industrial partners.

The main objective of this research is to develop and experimentally validate algorithms predicting the motion of surrounding moving objects. Such algorithms have to be developed to fit predictive decision-making and control algorithms with safety guarantees. The successful candidate will be engaged in both fundamental and experimental research. In particular, the candidate will develop prediction algorithms and experimentally validate them off-line with real-world data and, if possible, on-line in full-scale vehicles. Strong theoretical and practical problem-solving capabilities are required.

The research project is strongly connected with ongoing research projects within the WASP (Walleberg Autonomous Systems Program) program and in collaboration with industrial partners.

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 students.

The position is co-funded by the Chalmers Area of Advance in Transportation. The appointment is a full-time employment (not a scholarship) for a period of not more than two years (1+1).

Qualifications
A PhD (or close to completion) in control theory, filtering, signal processing, applied math or neighboring relevant field. Experience with automotive control applications will be preferred.

Ability to initiate new research collaborations is essential. Good communication skills in oral and written English are required.

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

Application deadline: 31 December 2016

For questions, please contact:
Paolo Falcone (falcone@chalmers.se), Division of Systems and Control. Tel.: +46 31 772 1803

Jonas Sjöberg, (jonas.sjoberg@chalmers.se), Division of Systems and Control. Tel.: +46 31 772 1855


*** Chalmers declines to consider all offers of further announcement publishing or other types of support for the recruiting process in connection with this position. *** 
   



Chalmers University of Technology conducts research and education in engineering sciences, architecture, technology-related mathematical sciences, natural and nautical sciences, working in close collaboration with industry and society. The strategy for scientific excellence focuses on our eight Areas of Advance; Building Futures, Energy, Information & Communication Technology, Life Science, Materials Science, Nanoscience & Nanotechnology, Production and Transport. The aim is to make an active contribution to a sustainable future using the basic sciences as a foundation and innovation and entrepreneurship as the central driving forces. Chalmers has around 11,000 students and 3,000 employees. New knowledge and improved technology have characterised Chalmers since its foundation in 1829, completely in accordance with the will of William Chalmers and his motto: Avancez!