Information about the divison and research
The Crash Analysis and Prevention (CAP) unit within the Vehicle Safety division (at the Department of Mechanics and Maritime Sciences) conduct world-leading research on topics related to traffic safety. The mission of the unit is to understand why crashes happen and how they can be prevented. This includes understanding crash causation mechanisms related to the road-user (e.g, driver) behaviour as well as (e.g., a... Visa mer
Information about the divison and research
The Crash Analysis and Prevention (CAP) unit within the Vehicle Safety division (at the Department of Mechanics and Maritime Sciences) conduct world-leading research on topics related to traffic safety. The mission of the unit is to understand why crashes happen and how they can be prevented. This includes understanding crash causation mechanisms related to the road-user (e.g, driver) behaviour as well as (e.g., automated) vehicle and environment factors. Strategies of risk exposure reduction in normal driving and threat avoidance in conflicts are used to prevent crashes, both in manual and automated driving. We leverage on deep understanding of these strategies to build effective driver support, active safety, and vehicle automation. We evaluate these strategies using conceptual and mathematical models developed with naturalistic and experimental data.
The research group has strong ties to the Swedish automotive industry and participate in national and international projects (EU, US and Japan). The division is physically located at the SAFER Vehicle and Traffic Safety Centre at Chalmers and utilizes this central positioning to collaborate with the resources of other SAFER partners. SAFER's partners include prominent Swedish Universities, research institutes, government agencies, and supporting industries. This enables access to advanced driving simulators, full scale vehicle testing environments, and large databases with traffic safety related data.
We teach courses in the master’s program in Automotive Engineering at Chalmers University on both the technical and behavioral aspects of traffic safety and active safety systems. Student projects at the Master's and Doctoral level are also conducted in the Accident Prevention research group.
Job description
The successful candidate will conduct research focused on two main areas of research. First, analysis of driver (user) and safety evaluation in the context of automated vehicles. Specifically this will be done in an ongoing large EU project. Second, modeling of driver behaviors in both manually driving and automated vehicles. There are large complementary aspects of the two topics. The work include interaction with researchers both within Chalmers and with industry and academia internationally. The work includes contributing to the collection and processing of data from manual and automated vehicles, both in normal traffic, on test-tracks, and in driving simulators, as well as analysis of these data and writing up the results in academic publications (as well as contributing to other project deliverables). Much of the analysis will be performed in Matlab or similar software, but also tools in Python may be utilized.
Besides conducting the research in ongoing projects, the candidate is expected to support the supervision of MSc students and PhD students and contribute to the teaching activities in the group.
Together with the researchers in the research group, this researcher will strategically strengthen the research on quantitative modelling of driver behavior and user and system benefit assessment at the Division of Vehicle Safety at Chalmers.
Position summary
The appointment is a full-time temporary employment (not a scholarship), with an attractive salary and full social benefits. The position is a one year appointment, with a potential for extension of up to one year.
Qualifications
We are looking for an independent and driven researcher that interact naturally with both researchers and industry. The applicant should have a PhD in Mechanical or Electrical Engineering (or equivalent), but also preferably have completed a post-doc (or equivalent) academic position.
The applicant should have a strong background in automotive engineering with experience in road-user modelling. Knowledge in advanced programming in Matlab is needed, including experience in analysis of time-history data. It is essential for the applicant to be experienced in analysis and modelling of driver behavior in automated driving.
Experience in research on automated vehicles is highly desirable for this position, as it is experience from industry or institutes (working closely with industry).. Experience in performing and analyzing field experiments and/or simulator experiments is also meritorious.
Experience on multi-cultural and multi-disciplinary work environments is expected and the position requires excellent English skills (verbal and written).
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.
Read more about the application procedure here
Application deadline: 18 June 2019
For questions, please contact:
Senior Researcher. Jonas Bärgman, M2, Vehicle Safety Division,
[email protected], 031-77 5846
Prof. Marco Dozza, M2, Vehicle Safety Division,
[email protected], 031-772 3621
*** Chalmers declines to consider all offers of further announcement publishing or other types of support for the recruiting process in connection with this position. ***
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