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Postdoctoral position in synthetic population for transport modeling

Information about the division
The division of Physical Resource Theory carries out research and education on potential solutions to our major environmental challenges, e.g. global warming and sustainable use of land and other resources. At our division we focus on research in the field of technical and socio-economic systems addressing the challenges involved in the transition into a sustainable and low carbon society for a growing poulation, where a range of different quantitative and qualitative methods can be applied on our reseach topics. The ambition is to build challenge-driven scientific excellence by crossing traditional boundaries and increase the level of multi-disciplinarity in research. The division has around 40 staff members, faculty and PhD-students with diverse expertise, including engineers, natural and social scientists. We also offer courses in areas related to our research.

Major responsibilities
There is an urgent need to provide a new generation of transport modeling framework that simulates, supports, and plans for the major paradigm shifts of new mobility in large geographical regions. Synthetic Sweden is unique in being the first attempt to combine agent-based modeling (ABM) with Big Data analytics and large-scale optimization techniques to study the transformative changes in mobility. This project will apply state-of-the-art analytical tools deeply rooted in recent advances in computer science and information and communication technology (ICT) – including synthetic information systems, ABMs, Big Data analytics and large-scale optimization. The framework will be used to explore how transformative technologies, new mobility services, and consumer behaviours involving EVs and AVs will co-evolve to meet future mobility needs; what are the infrastructure requirements; and how changes in behaviour, land use (urban vs. rural) and new policies can both increase societal benefits and reduce energy use and GHG emissions. Through scenarios and case-studies we aim to develop realistic decisions supporting tools that will improve the design and planning of sustainable mobility. The project is a collaboration with the Department of Computer Science and Engineering at Chalmers University of Technology and the Biocomplexity Institute at University of Virginia.

Your major responsibility as postdoc is to perform your own research in a research group. The position also includes teaching on undergraduate and master's levels as well as supervising master's and/or PhD students to a certain extent. Another important aspect involves collaboration within academia and with society at large. 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). The position will remain open until filled. The expected starting date is April-June 2019.

To qualify for the position of postdoc you must have a doctoral degree in a relevant field, including (but not restricted to) engineering, data science, computer science, physics, mathematics, or complex systems. A PhD in a research field closely related to the project description, particularly with research experience in transport research, spatial analysis, computational modeling, is highly meritorious. Documented scientific skills, including demonstrated ability in independent research, publishing in top journals and presenting in international conferences are required.

You are expected to be somewhat accustomed to teaching, and to demonstrate good potential within research and education.

The position requires sound verbal and written communication skills in Swedish and English. If Swedish is not your native language, you should be able to teach in Swedish on undergraduate level after two years. Chalmers offers Swedish courses.

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

Application deadline: 11 February 2019

For questions, please contact:
Professor, Sonia Yeh, Physical Resource Theory,, 031-772-67 16

*** 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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