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Position: Postdoc - Optimal Control and Energy Management of Vehicles
Institution: Chalmers University of Technology
Department: Signals and Systems
Location: Gothenburg, Västra Götaland County, Sweden
Duties: We invite applications for one postdoctoral position on optimal control of automated vehicles and vehicular powertrain in particular. The candidate will join a team of postdocs and PhD 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 and sustainable transportation systems. Ongoing research projects focus on the design and the experimental validation of control algorithms for energy managmeent of vehicular powertrains and automated driving. Our research is, where possible, validated through experiments on full-scale vehicles and in collaboration with research groups, insitutes and industry
Requirements: A PhD (or close to completion) in control theory, applied math or neighboring relevant field. The doctoral degree should generally not be older than three years
   
Text: Postdoctoral position in Optimal control and energy management of vehicles Ref: REF 2017-0040 Apply Mail a friend Share Share Tweet 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 postdoctoral position on optimal control of automated vehicles and vehicular powertrain in particular. The candidate will join a team of postdocs and PhD 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 and sustainable transportation systems. Ongoing research projects focus on the design and the experimental validation of control algorithms for energy managmeent of vehicular powertrains and automated driving. Our research is, where possible, validated through experiments on full-scale vehicles and in collaboration with research groups, insitutes and industry. In order to meet the strict legislations on fuel consumption and emissions in road transportation, vehicle manufacturers introduce a combination of techniques, such as electrified powertrains, upgraded and improved kinetic energy recovery, waste heat recovery, and exhaust after treatment systems. This in turn has consequences on the development of the control systems which tend to become unmanageable when the powertrain systems are evolving with time. A new control system design methodology is needed to address this challenge. The research challenge in this project is to develop such a methodology, which speeds up development time, provides the flexibility to handle product variations, reduces calibration efforts, and provides opportunities to further increase energy efficiency. Of particular interest is modularity, use of look-ahead information, and predictive and optimal control. 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 appointment is a full-time employment (not a scholarship) for a period of not more than two years. The position is meritorious for future research duties within academia as well as industry/the public sector. 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, applied math or neighboring relevant field. Experience with modeling and control of vehicular powertrains, and in particular waste heat recover and after treatment system, is desired. The doctoral degree should generally not be older than three years. 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 20170027 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 February For questions, please contact: Nikolce Murgovski (nikolce.murgovski@chalmers.se), Division of Systems and Control. Tel.: 46 31 772 4800 or Jonas Fredriksson, (jonas.fredriksson@chalmers.se), Division of Systems and Control. Tel.: 46 31 772 1359 *** 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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