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Postdoctoral Position in Driving Styles of Autonomous Vehicles in Mixed Traffic Conditions

Applications are invited for a postdoc position in mechanical engineering to join Chalmers University of Technology, Sweden. The funds for this fellowship are available for three years. Candidates are welcome before March 03, 2019.

The department of Mechanics and Maritime Sciences (M2) conducts fundamental and applied research in all modes of transport to achieve sustainable technological solutions. M2 holds one of Sweden's most extensive simulator centre for navigation and propulsion of ships, as well as world class laboratories within combustion engineering and wind tunnels. The department also offers and contributes to bachelor and master programs in areas such as Shipping, Automotive and Mechanical Engineering to mention a few. In addition, professional education is performed on both a national and international level, with specific designed mission training for different social actors, within our ambition for a lifelong learning. The department continuously strives to establish a cooperation between academia, industry, and society, with a great focus on utilization. M2 is characterized by an international environment with employees and students from around the world, as well as outstanding research and world class education. M2 consists of seven different divisions within the areas of engineering and maritime sciences, and one division of administration and support.

Information about the research group

We welcome applications for a postdoctoral position for a research topic on automated driving and mixed traffic conditions. This multi-disciplinary research will be performed together with other partners from Sweden and China.

The successful candidate will be part of Crash Analysis and Prevention group within the Vehicle Safety division. The researchers in this group conduct world-leading research on topics ranging from normal driving behaviour to the events leading to on-road crashes and incidents. Additional research addresses the development of methods to assess the safety impact of in-vehicle active safety systems. Much of our research involves the analysis of quantitative data collected naturalistically. That is, data collected from road users in their daily routines. These data and their analysis are often used as a basis for controlled experiments, mathematical simulations and driver modelling.

The division is physically located at SAFER Vehicle and Traffic Safety Centre at Chalmers and utilises this central positioning to collaborate with other SAFER partners. SAFER’s partners include prominent Swedish Universities, research institutes, government agencies, and supporting industries. This enables access to advanced driving simulators and full scale vehicle testing environments.

Major responsibilities

The successful candidate will be part of Vehicle Safety Division and one of two Postdocs working in Sweden-China Collaboration projects. You are responsible for developing mathematical models representing driving styles of vehicles with different automation levels. These models may range from control-theoretic models to hybrid automata of a stochastic/probabilistic nature. You are also responsible for creating tools (e.g., extensions or necessary plug-ins to microscopic simulation software) and adapting/developing new measures to address both safety and efficiency. These models, tools, and measures will provide the necessary basis to study the impact of mixed traffic on traffic safety and traffic flow. You will have access to naturalistic driving databases for validation of your models involving no automation.

Beside conducting the research, the responsibilities of the successful candidate include communicating the results of the research verbally and in writing (i.e., publishing papers), and contributing to proposals writing.

The position is full-time temporary employment and is limited to a maximum of two years with a performance review after 1 year.

Qualifications

The candidate must have a PhD degree, obtained in the last three years, in a relevant field such as engineering (e.g., computer, mechanical, electrical, physic), computer science, mathematics, or statistics. Experiences in analysis of time-series data, signal processing, and ability to program are required (at least in Matlab; ability to program in other languages like C, R, Python are advantageous). Experiences with applying machine learning, control algorithms, stochastic and probabilistic methods for real-world problems as well as experience with coding and setting up microscopic traffic simulation (e.g., SUMO, VISSIM, AIMSUN) are advantageous. Ability to initiate new research collaborations is essential. Good collaboration and communication skills in oral and written English are required. We welcome candidates that are self propelled, culturally aware, and quality conscious.

The position will require international travel to China which requires entry visas.

Chalmers offers a cultivating and inspiring working environment in the dynamic city ofGothenburg.

Read more aboutworking at Chalmersand ourbenefitsfor employees.

Application procedure

The application should be marked with Ref 20190047 and written in English.

CV: (Please name the document as: CV, Surname, Ref.

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.

1-3 pages where you introduce yourselfand 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?

Attested copies of completed education, grades and other certificates.

Application deadline: 3 March 2019

Selpi Selpi, selpi@chalmers.se, +46 31 772 1369

Pinar Boyraz Baykas, pinar.boyraz@chalmers.se, +46 31 772 8236

Robert Thomson, robert.thomson@chalmers.se, + 46 31 772 3645


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