Doctoral student in physics-informed machine learning for time-series data
Chalmers Tekniska Högskola AB / Högskolejobb / Göteborg
2025-10-06
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hela Sverige Visa alla jobb hos Chalmers Tekniska Högskola AB i Göteborg Join us to develop physics-guided and data-driven foundation models for multivariate time series in safety-critical systems such as automotive. You will design predictive and generative models, scale training on real data, and validate in simulation and with industry partners to advance safe, reliable automation.
About us
The Department of Computer Science and Engineering at Chalmers and University of Gothenburg in Sweden employs approximately 300 employees from more than 30 countries. The department is divided into four divisions and is widely recognized for excellent research and education, with activities on two campuses in the city of Gothenburg. Research in the department has a wide span, from theoretical foundations to applied systems development. We provide high quality education at the bachelor's, master's, and graduate levels, offering over 120 courses each year. We also have extensive national and international collaborations with academia, industry and society.
We are announcing a PhD position that is placed at the Computing Science division with Chalmers University of Technology as the employer.
This project is a collaboration between the AIXLab@Chalmers and Volvo Group. At AIXLab, we focus on developing AI solutions that are usable and applicable in real-world settings. We are part of the Computing Science division at the Department of Computer Science and Engineering.
About the research project
This project advances physics-aware foundation models for time-series data. The primary use case is automotive: predicting vehicle behavior, simulating rare safety-critical scenarios and generating test cases to strengthen validation and reduce physical trials. The techniques are designed to transfer to other domains. You do not need extensive experience with physics-guided modeling; strong interest in time series machine learning and the ambition to learn are what matter most. The results will support safer automation, fewer failure modes, more efficient testing, and lower energy use.
Who we are looking for
The following requirements are mandatory:
• To qualify as a Doctoral student, you must have a Master's degree (masterexamen) of 120 credits or a Master's degree (magisterexamen) of 60 credits* in Computer Science, Electrical engineering, or equivalent.
• You will need strong written and verbal communication skills in English.
• Strong machine learning fundamentals (probability, statistics, optimization) and strong interest in time-series modeling and physics-guided machine learning.
• Proficiency in Python and modern deep learning frameworks (e.g., PyTorch).
• Engineering skills: GPU/cluster training, experiment tracking, data engineering.
• Ability to formulate research questions, run empirical studies at scale.
• for students with an education earned outside of Sweden, a 4-year Bachelor's degree is accepted.
The following experience will strengthen your application:
• Experience with physics-informed machine learning
• Background in foundation models for time-series (forecasting, representation learning)
• Exposure to safety-critical systems, scenario generation, or test coverage for edge cases
• Experience with academic research and publications
What you will do
• Take courses at an advanced level within the Graduate school of Computer Science and Engineering
• Develop your own scientific concepts and communicate the results of your research verbally and in writing
Contract terms
• The Doctoral student positions are fully funded from start.
• The position is limited to four years, with the possibility to teach up to 20%, which extends the position to five years.
• A starting salary of 34,550 SEK per month (valid from May 25, 2025).
• Doctoral studies require physical presence throughout the entire study period. A valid residence permit must be presented by the study start date; otherwise the admission may be withdrawn.
What we offer
• As a Doctoral student at Chalmers, you are an employee and enjoy all employee benefits. Read more about working at Chalmers and our benefits for employees.
• A dynamic and inspiring working environment in the coastal city of Gothenburg.
• Read more about Sweden's generous parental leave, subsidized day care, free schools, healthcare etc at Move To Gothenburg.
Chalmers is dedicated to improving gender balance and actively works with equality projects, such as the GENIE Initiative for gender equality and excellence. We celebrate diversity and consider equality and inclusion as fundamental aspects of all our activities.
If Swedish is not your native language, Chalmers offers Swedish courses to help you settle in.
Find more general information about doctoral studies at Chalmers here.
Application procedure
The application should be written in English and attached as PDF-files. Please note the system does not support Zip files.
CV
Personal letter
• A brief introduction about yourself.
• A brief motivation as to why you are interested in this position.
Bachelor's and, if available, master's thesis together with the transcripts.
Use the button at the foot of the page to reach the application form.
Please note: The applicant is responsible for ensuring that the application is complete. Incomplete applications and applications sent by email will not be considered. Contact details to references will be requested after the interview.
We welcome your application no later than December 1st 2025
For questions, please contact:
Yinan Yu (about the research project)
Email:
yinan@chalmers.seCarl-Johan Seger (about the application process)
Email:
secarl@chalmers.seWe look forward to your application!
• ** 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 in Gothenburg conducts research and education in technology and natural sciences at a high international level. The university has 3100 employees and 10,000 students, and offers education in engineering, science, shipping and architecture. With scientific excellence as a basis, Chalmers promotes knowledge and technical solutions for a sustainable world. Through global commitment and entrepreneurship, we foster an innovative spirit, in close collaboration with wider society.
Chalmers was founded in 1829 and has the same motto today as it did then: Avancez - forward.
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Arbetsgivare Chalmers Tekniska Högskola AB (org.nr 556479-5598)
Jobbnummer 9541715