[robotics-worldwide] [jobs] Post-Doc Position in Driving Styles of Autonomous Vehicles @ Chalmers, Sweden

Pinar Boyraz boyraz.pinar at googlemail.com
Thu Mar 7 01:01:39 PST 2019

 Dear Madam/Sir,

could you please post this announcement to the Robotics-World-Wide


Postdoctoral position in Driving styles of autonomous vehicles in mixed
traffic conditions

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.

*Position summary*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 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
our benefits

*Application procedure*

*The application should be marked with Ref 20190047 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)*
• 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: 22 March 2019*

*For questions, please contact:*Selpi Selpi, selpi at chalmers.se, +46 31 772
Pinar Boyraz Baykas, pinar.boyraz at chalmers.se, +46 31 772 8236
Robert Thomson, robert.thomson at chalmers.se, + 46 31 772 3645


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