Postdoc of sustainable mobility and behavior

Information about the research group
The postdoc will be in Urban Mobility Systems research group, a research group within Department of Architecture and Civil Engineering in Chalmers University of Technology. Since its foundation, the lab has received valuable support from EU, Swedish Innovation Agency, Swedish Energy Agency, and Areas of Advance Transport Chalmers, and developed close collaborations with major industry partners, such as WSP, Volvo Group and RISE etc. With the disruptive development of emerging technologies, such as electric vehicles, connected automated vehicles, and Mobility-as-a-Services, unprecedented changes have been witnessed in nearly every aspect of the urban transport system and more are foreseeable. In the past few years, the group has been actively working on those topics, and the collective effort has resulted in a number of high-quality research papers and large research grants in the past four years, and newly developed international collaborations. The position on offer will join the team to advance sustainable mobility systems, with scrupulous guidance and supportive helps from senior researchers.

Project description
The greenhouse gases (GHG) emissions from the transport sector take up approximately a quarter of global GHG emissions and are still rising. Shared mobility system (e.g., ride-hailing, bike/e-bike and e-scooter/e-mopeds sharing), transportation electrification and autonomous vehicles, are promising solutions to renovate traditional transportation systems to be more efficient, sustainable and equitable.
These new technologies are being embraced by the world. From system perspective, improving urban mobility systems with emerging transport technologies in terms of operation and efficiency, is crucial for sustainable mobility. From the user perspective, understanding users' travel behavior changes and mechanisms behind behavior shifting in new mobility contexts is vital as well.

This position aims to advance in the following aspects:
1, Data-driven analysis of mobility data of emerging transport technologies (e.g., shared, electric and autonomous transport) using big data and machine learning
2, Data-driven methodologies of travel behavior modeling and analysis combining the complementary merits of machine learning and econometric models
3, Identify the determinants/effective strategies for promoting sustainable mobility behavior

Major responsibilities
Your major responsibility as a postdoc researcher is to pursue your research development under the strategic themes of the research group.
The major responsibilities include:
- Pursue research in line with research project, publish and present scientific articles and take part in discussions.
- You will develop scientific concepts and communicate the results of your research, both orally and in writing such as
scientific articles and reports.
- Actively collecting researchers and practitioners within academia and with society at large.
- The position will slightly contribute to teaching and supervision

Qualifications
For this position, qualified candidates must have a PhD level degree in one of the following relevant fields: Transport Engineering; Data Science; Machine Learning; Travel behavior analysis; Mathematics; Industrial Engineering; System Optimization or other subjects that fit the requirements of the position.

- Excellent oral and writing and communication skills in English. Swedish is an advantage but not mandatory
- Strong professional/educational background in the mentioned relevant fields.
- Strong and long-term commitment and self-motivation to academic work/career
- Mathematic knowledge background about statistics, algebra and optimization
- Programming skills for big data analysis and machine learning

The below experience or background will be appreciated:
- Research experience about shared mobility and travel behavior analysis using big data.
- Strong experience and skills in deep learning for mobility behavior analysis
- Experience of handling big data analysis and using AI algorithms
- Good presentation ability



Contract terms
The position is a two-year contract with potential extension of another 1-2 years.

We offer
- Great opportunities to work with excellent researchers to advance theoretical and technical methods for electric mobility systems;
- Academic competence development and professional training for future career;
- Close collaborations and communications with internationally renowned institutions and industrial partners;
- Reciprocal and supportive working environment;
- High social welfare

Application procedure
The application should be marked with Ref 20230366 and written in English. The application should be sent electronically and be attached as PDF-files, as below. Maximum size for each file is 40 MB. Please note that the system does not support Zip files.

CV: (Please name the document as: CV, Surname, Ref. number) including:
• 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) maximum 2 pages where you:
• Introduce yourself
• Briefly summarize your previous experience/background of relevance for the position
• Describe your motivation and competence for the position.

Research statement: (Please name the document as: Research statement, Family name, Ref. number), maximum 4 pages where you:
• Describe your previous education and knowledge background that are relevant to the position
• Describe (in more details) your previous research experience and main research results
• Describe your planned future goals and future research focus if you get the position


Other documents:
• Attested copies of completed education, grades and other certificates.

Use the button at the foot of the page to reach the application form.

Application deadline: 2023-07-20

 
For questions, please contact:
Kun Gao, Assistant Professor, Unit head of Urban Mobility Group, Department of Architecture and Civil Engineering,
gkun@chalmers.se