Postdoctoral position in Design and validation methodology of safety systems for cyclists

At the department of Electrical Engineering research and education are performed in the areas of Communication and Antenna systems, Systems and Control, Computer vision, Signal processing and Biomedical engineering, and Electric Power Engineering. Our knowledge is of use everywhere where there is advanced technology with integrated electronics. We work with challenges for a sustainable future in society of today, for example in the growing demands concerning efficient systems for communications and electrifying.

We offer a dynamic and international work environment with about 200 employees from more than 20 countries, and with extensive national and international research collaborations with academia, industry and society.

The department provides about 100 courses, of which most are included in the Master’s Programs ”Biomedical Engineering”, “Electric Power Engineering”, ”Systems, Control and Mechatronics” and ”Communication Engineering”.

Read more at www.chalmers.se/en/departments/e2

Information about the research
At the Mechatronics Group of the Electrical Engineering 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 different functions in a traffic system containing autonomous and manual driven vehicles operating in complex urban environments. The algorithms are based on predictions made on uncertain information from the sensor system and the design need to consider these aspects too. Our research is, where possible, validated through experiments on full-scale vehicles and in collaboration with industrial partners.

We invite applications for a post-doctoral position in design and validation methodology of safety systems for cyclists. A self-driving bike has been designed that will be used for validating active safety functions and testing algorithms for manual and self-driving vehicles. The bike is intended to be used in tests together with vehicles and control algorithms will be designed so that it behaves as realistically as possible with the ability to move dynamically and roll around curves. The bike must be self-balancing and be able to carry a dummy to closely resemble a human cyclist. The postdoc will be involved in developing models and algorithms for the bike and, in cooperation with partners, perform driving tests and evaluate the results from them. Possibly, the postdoc may be involved in developing new safety algorithms for the vehicles. This would then be in close connection with industrial partners.

The position is placed at the Mechatronics Group of the Electrical Engineering Department where we are engaged in both fundamental and applied research related to intelligent transportation systems. Ongoing research projects in this field focus, among others, on the design and the experimental validation of control algorithms for autonomous vehicles. Except particpating industrial partners, the project is in colaboration with the Division of Crash Analysis and Prevention (CAP) in the Vehicle Safety where they are working on behavoral aspects in conection to safety for cyclists. Together with them, relevant test cases will be defined.

The successful candidate will join a team of post-docs and Ph. D. students, engaged in neighboring research, and is expected to contribute to the design of control algorithms for systems, subject to state and input constraints, communicating through lossy channels with limited capacity. The intention is that the achieved results will be demonstrated through experiments where the bike is tested together with full-scale vehicles and in collaboration with our industrial partners.

The research project is strongly connected with other ongoing research projects on autonomous vehicles, some of them within the WASP (Wallenberg Autonomous Systems Program).

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 and Vinnova. The appointment is a full-time employment (not a scholarship) for a period of not more than two years (1+1).

Position summary
Full-time temporary employment. The position is limited to a maximum of two years (1+1).

Qualifications
A PhD (or close to completion) in control theory, optimization and constrained optimal control or neighboring relevant field. Experience with automotive control applications will be preferred. The degree should generally not be older than three years.

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 procedure
The application should be marked with Ref 20180410 and written in English. The application should be sent electronically and be attached as pdf-files, as below:

CV: (Please name the document as: CV, Surname, Ref. number) including:
• CV, include complete list of publications
• Previous teaching and pedagogical experiences
• Two references that we can contact.

Personal letter: (Please name the document as: Personal letter, Family name, Ref. number) including:
• 1-3 pages where you introduce yourself and present your qualifications.
• Previous research fields and main research results.
• Future goals and research focus. Are there any specific projects and research issues you are primarily interested in?

Other documents:
• Attested copies of completed education, grades and other certificates.

Please use the button at the foot of the page to reach the application form. The files may be compressed (zipped).

Application deadline: 28 March, 2019

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

Marco Dozza, (marco.dozza@chalmers.se)
Division of Crash Analysis and Prevention (CAP) in the Vehicle Safety
Tel: +46317723621

*** 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!


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