Two specialist positions as researcher in transportation modeling

The Department of Space, Earth and Environment contains five divisions, with research and education spanning from global challenges related to sustainability and energy supply to astronomy and space sciences. The department is host to two major infrastructures, Onsala Space Observatory and Chalmers Power Central, and consist of about 250 employees.

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 population, where a range of different quantitative and qualitative methods can be applied on our research 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.

We are now recruiting two researchers in transportation modeling.

Temporary researcher in smart freight modeling
Freight transport and logistics are in a period of transformation where the increased availability of digital technologies is rapidly transforming market structures and logistics business models, and the legislative and policy frameworks are moving towards the minimization of the environmental impact of transport. The rapid structural, organisational, and behavioral changes of the sector make existing data, models, and tools lag behind current developments. In response, the STORM project aims to study transformation and structural changes in freight and logistics business structures from different perspectives, focusing on the future challenges and needs of the sector by developing new methods and tools to support digitalization, sustainability transition, and future policy needs. As a researcher you will be responsible for developing new generation models and solutions through industry use cases and contribute to sector innovations and competitiveness. The ultimate goal is to provide advanced methods and tools to enable new opportunities and business models for the transport sector, to fulfil the ultimate goal of facilitating the sustainable transformation for the business and future public policies.

Temporary researcher in synthetic population for transport modeling
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 (IC T) – 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 behaviors involving EVs and AVs will co-evolve to meet future mobility needs; what are the infrastructure requirements; and how changes in behavior, 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.

Qualifications
To qualify for the position in smart freight modeling, you must have a doctoral degree, two years working experience and publication records in a relevant field, such as engineering, urban planning, or geomatics engineering. A PhD in a research field closely related to the project description, particularly with research experience in transport research, GIS modeling and analysis, geostatistical modeling, cartography and remote sensing, is highly meritorious. You must have experience in certain programming language including Python and SQL. Documented scientific skills, including demonstrated ability in independent research, publishing in top journals and presenting in international conferences are required.

To qualify for the position in synthetic population for transport modeling, you must have a doctoral degree and a minimum of two year working experience and publication records in a relevant field, such as engineering, or computer science. It is also a bonus if your PhD research field is closely related to the project description, particularly with research experience in transport research, network analysis, computational modeling, optimization, game theory and simulation techniques. Documented scientific skills, including demonstrated ability in independent research, publishing in top journals and presenting in international conferences are required.  

Position summary
Full-time temporary employment for two years.

Application procedure
The application should be marked with Ref 20210147 and written in English. The application should be sent electronically and be attached as pdf-files, as below:

Application deadline: 25 April, 2021

For questions, please contact:
Professor Sonia Yeh, Physical Resource Theory
E-mail: sonia.yeh@chalmers.se
Phone: +46 31 7726716

*** Chalmers declines to consider all offers of further announcement publishing or other types of support for the recruiting process in connection with this position. ***