This PhD position at the Department of Architecture and Civil Engineering
- Great opportunities to work with excellent researchers to advance
theoretical and technical methods for sustainable mobility systems;
- Academic competence development and professional training for future
- Close collaborations and communications with internationally renowned
institutions and industrial partners
- A reciprocal and supportive working environment
- High social welfare during the working period.
Information about the research for the position
The greenhouse gases (GHG) emissions from the transport sector take up
approximately a quarter of global GHG emissions and are still rising. Traffic
congestions and safety have been two of main causes for economic losses and
causality worldwide. To facilitate the fast transition to emission-free, more
efficient and safer transportation systems, the world has witnessed
significant advances in emerging transport technologies such as transportation
electrification, shared mobility and connected automated vehicles. These
emerging technologies are promising panacea to renovate current mobility
systems and significantly contribute to transition to more sustainable
mobility systems. However, these new techniques bring not only opportunities
but also challenges. There are many theoretical, technical and practical
issues that need to be addressed to put these new technologies or techniques
to good use. To name a few, transportation electrification needs large scale
deployment of charging facilities and re-design of some transport systems
(e.g., the scheduling of buses); the adoption rate of electric vehicles is
not high due to vehicle and infrastructure limitations; the environmental
benefits of electric vehicles may not be positive if the electricity is mainly
from thermal power in some regions and utilization rate is low; shared
mobility such as car-sharing and on-demand ride-hailing may result in more
usage of passenger cars instead of public transits, and need better operation
management and system optimization; connected automation encounters a set of
dilemma in mixed traffic with both human-driven vehicle and automated
The research within the position will focus on advancing one or several
aspects of aforementioned new challenges for promoting sustainable mobility
leveraging emerging techniques. The successful candidate will explore the key
questions for facilitating transportation electrification, connected
automation in transportation systems or integration of the two technologies.
The specific topics (but not limited to) could be:
1. Optimizing infrastructure deployment, network design and scheduling for
electric vehicles (both private car and public transits)
2. Control and management for connected electric vehicles at the traffic flow
and trajectory levels
3. Develop novel methodological framework for analysis and assessments of
actual usage and effects of the new transport technologies (e.g., economic,
environmental and safety aspects) leveraging big data and machine learning.
4. Other relevant topics upon discussion with supervisors and the PhD
Information about the research group
The PhD position will be supervised by Kun Gao in Urban Mobility Systems
research group of Chalmers and co-advised by Prof. Xiaobo Qu. The Urban
Mobility Systems group has a very close collaborative link with the
intelligent transportation group of Tsinghua University. Urban Mobility
Systems research group is a research group within Department of Architecture
and Civil Engineering. The group was established in 2018. Since its
foundation, the lab has received valuable support from Chalmers civil
engineering department, Areas of Advance Chalmers, Swedish Innovation Agency,
Swedish Energy Agency, and EU, and developed close collaborations with major
industry partners, such as WSP, Volvo Cars, Scania AB, 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, over 40 million SEK research grants,
and newly developed international collaborations.
Your major responsibility as a PhD student is to pursue your own doctoral
studies under the strategic themes of the research group. The major
- You are expected to take the PhD level courses in Chalmers and learn other
knowledge to enhance your research ability and competence in general.
- You will develop your own scientific concepts and communicate the results
of your research, both orally and in writing such as scientific articles and
- Actively collecting researchers and practitioners within academia and with
society at large.
- The position will normally include 10 - 20% departmental work, mostly
teaching duties and supervising undergraduate students.
For this position, qualified candidates must have a master's level degree
corresponding to at least 240 higher education credits in one of the following
relevant fields: Transportation engineering; Operation research; Data science;
Mathematics; Electrical engineering; Automatic controls; Urban planning;
Environmental engineering; or other subjects that fit the requirements of the
- Excellent oral and writing and communication skills in English. Swedish is
a merit but not mandatory.
- Strong professional/educational background in the mentioned relevant
- Strong and long-term commitment and self-motivation to academic work/career
- Mathematic knowledge background about optimization, statistics and algebra
- Programming skills for solving optimization problem and big data analysis
The below experience or background will be appreciated:
- Experience of handling big data analysis and using AI algorithms for
solving transport problems.
- Research experience about electric transportation, connected automation or
shared mobility systems
- Experience and skills in optimization, deep learning and automatic
- Good presentation ability
The position is full-time temporary employment with a time limit to a
maximum of 4.5 years. You will be employed by Chalmers and will receive a
salary (32000 – 36700 SEK per month) according to current salary agreements.
We offer Chalmers offers a cultivating and inspiring working environment in the
coastal city of Gothenburg.
Read more about working at Chalmers and our benefits for employees.
Chalmers aims to actively improve our gender balance. We work broadly with
equality projects, for example the GENIE Initiative on gender equality for
excellence. Equality and diversity are substantial foundations in all
activities at Chalmers.
The application should be marked with Ref 20220403 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: CV, Family name, Ref. number)
• 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
• 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 (e.g., courses, course projects and relevant activities) and
main research results
• Describe (in more details) your previous research experience and main
• Describe your planned future goals and future research focus if you receive
• Copies of bachelor and/or master's thesis.
• Attested copies and transcripts of completed education, grades and other
certificates, e.g. TOEFL test results.
Use the button at the foot of the page to reach the application form.
Application deadline: 7 October, 2022
For questions, please contact:
Kun Gao, Assistant Professor, ACE
Chalmers declines to consider all offers of further announcement
publishing or other types of support for the recruiting process in connection
with this position.
Chalmers University of Technology conducts research and education in
engineering sciences, architecture, technology-related mathematical sciences,
natural and nautical sciences, working in close collaboration with industry
and society. The strategy for scientific excellence focuses on our six Areas
of Advance; Energy, Health Engineering, Information and Communication
Technology, Materials Science, Production and Transport. The aim is to make an
active contribution to a sustainable future using the basic sciences as a
foundation and innovation and entrepreneurship as the central driving forces.
Chalmers has around 11,000 students and 3,000 employees. New knowledge and
improved technology have characterised Chalmers since its foundation in 1829,
completely in accordance with the will of William Chalmers and his motto: