In this project, we will develop intelligent trip planning system for
electric vehicles that will replace currently available navigators in
production vehicles. The novel system will incorporate information shared with
other vehicles and predictive information on power availability of chargers
along the route, in order to optimally manage charging from both the vehicular
and infrastructure perspective. Such a holistic perspective on intelligent
trip planning has not been studied previously and the hypothesis is that a
holistic approach is necessary to avoid queues at some charging stations and
underutilization of other stations, while minimizing travel time and energy
consumption for the individual electric vehicle user. We will develop
stochastic models on the anticipated distribution of charging cost, power
availability, waiting time and overstay cost at charging facilities. Advanced
optimization techniques will be developed to answer the hypothesis, and the
results will be demonstrated on a prototype vehicle, to prove its feasibility
and take initial steps in technology development.
This project is in partnership with Volvo Cars, CEVT and Uppsala University,
and will also work closely with multiple institutes, electricity providers and
chargers' operators in Sweden. You will get an office at Chalmers University
and will work for at least 3 months at both CEVT and Volvo Cars. An exchange
visit will also be planned to a Swedish and/or an international university. As
a PhD student you will be given opportunities for many inspiring
conversations, plenty of autonomous work and some travel.
This project is coordinated by the Swedish Electromobility Centre and you will
be enrolled in the centre's PhD network. You will enjoy the opportunity to
follow the centre's activities and targeted courses on electromobility.
Information about the department
The PhD position is at the Mechatronics group, division of Systems and
Control, department of Electrical Engineering. Here, a team of PhD students,
post-docs and senior researchers are working on modelling and numerical
optimization of problems in the areas of robotics, electromobility and
autonomous driving. We offer advanced PhD courses where we extend the
fundamentals in optimal control, machine learning, probability theory and
similar. The research and learning environment is international and English is
the working language. If Swedish is not your native language and you are
interested in learning it, Chalmers offers Swedish courses that are free for
PhD students. Although the knowledge of Swedish is not mandatory for teaching
and research, many PhD students decide to follow these courses.
Your research will include fundamental theoretical studies, numerical
simulations and experiments to develop world-leading engineering solutions.
You are expected to publish papers of high quality, visit and present at
international conferences and collaborate with teammates. The position is
regarded as a full-time employment with a competitive monthly salary and full
social benefits. It is limited to maximum 5 years and includes teaching at the
undergraduate and MSc level, up to 20% of full time. There are no tuition fees
for PhD studies at Chalmers.
To qualify for the position you must have, or expect to receive soon, a
master's level degree corresponding to at least 240 higher education credits
in Electrical Engineering, Applied Mathematics, Applied Physics, Mechanical
Engineering or similar. Solid mathematical background is required and
excellent grades are expected in most of the subjects.
Advantageous merits: knowledge in advanced model-based control, robotics, or
automotive systems; solid background in physical modelling with differential
equations, numerical optimization, control theory, deep learning, statistical
modelling; previous teaching experience, programming skills (Matlab or Python
are sufficient); experience of international exchange or collaboration.
Full-time temporary employment. The position is limited to a maximum of
five years. The starting date is tentatively January 2023, but starting earler
is also possible.
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 20220432 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)
• Other, for example previous employments or leadership qualifications and
positions of trust.
• Two references that we can contact.
Personal letter: (Please name the document as: Personal letter, Family
name, Ref. number)
1-3 pages where you:
• Introduce yourself
• Describe your previous experience of relevance for the position (e.g.
education, thesis work and, if applicable, any other research activities)
• Describe your future goals and future research focus
• 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: 5 October, 2022
For questions, please contact:
Associate professor Nikolce Murgovski
+46 31 7724800
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: