This Ph.D. opportunity offers an exceptional chance to attain specialized expertise in battery research while integrating it with the domain of automatic control. Both of these areas exhibit robust employment prospects in the foreseeable future. You will be part of a highly regarded international research team comprising approximately 15 members. This team is dedicated to the enhancement of battery performance and longevity through the development of battery management algorithms, contributing to a more sustainable future.
PhD Project Description
The pace of the shift towards complete electrification in the automotive industry hinges significantly on advancements in battery systems. Key factors influencing sales in a given setup are the rapid charging capabilities and the longevity of the batteries. However, the existing sensors treat battery systems as enigmatic entities, lacking the ability to monitor or manage the localized deterioration conditions within the battery cells. Consequently, this leads to suboptimal performance and premature aging of batteries, posing risks to reliability and safety. In this project, we aim to introduce cost-effective sensors and develop intelligent algorithms for battery management systems. These systems will utilize the sensors to provide real-time insights into the interior conditions of the cells, allowing for faster charging without compromising on battery lifespan and safety.
This collaborative initiative involves partnerships with the Nanomaterial and Manufacture research group at Chalmers, Volvo Cars, and ConScience AB. The primary funding source is the Swedish Energy Agency's "Betterifondsprogrammet." The Ph.D. position entails full-time temporary employment for four years, with the possibility of extension to five years to accommodate teaching responsibilities within the department. The role offers a competitive monthly salary, comprehensive social benefits, and opportunities for close collaboration with experts from Volvo Cars and ConScience AB.
Your primary duty entails conducting research aligned with the project's objectives, publishing and delivering scientific articles, and actively engaging in scholarly discussions. Throughout your Ph.D. journey, you will also receive additional education through courses pertinent to your research, the overarching research project, and the broader domain of automatic control. This comprehensive education will equip you for your future career. Additionally, you will be required to contribute to teaching endeavors in the field of Automatic Control, with a maximum commitment of up to 20%.
Qualification
A preferred qualification is a Master's degree in disciplines such as control, electric power engineering, computer science, engineering physics, or related fields. Proficiency in mathematics and a strong inclination toward it are valuable assets. Proficiency in both spoken and written English is essential. Prior experience in battery management systems, machine learning, and power systems is considered advantageous.
Effective communication skills, both verbally and in writing, in English are necessary for this role. If Swedish is not your native language, Chalmers University provides Swedish language courses to support your language proficiency.
How to Apply
The application is only to be submitted online by using the"Apply online" button below. Please be notified that application deadline is 15 October 2023. For further information related to the PhD scholarships, please visit the following Scholarship Link.
For questions, please contact:
Prof. Torsten Wik, Automatic Control, Department of Electrical Engineering
torsten.wik@chalmers.se, +46 (0)31 772 5146
Ass. Prof Changfu Zou, Automotic Control, Department of Electrical Engineering
changfu@chalmers.se, +46 (0)31 772 339
Dr Xiaolei Bian, Automatic Control, Department of Electrical Engineering
xiaoleib@chalmers.se, +46 (0)70 371 7378
