PhD: Physics-Guided Time-Series AI for Safer Autos

Chalmers University of Technology; Göteborgs kommun; On-site; SEK 351,000 - 420,000; Full time

Benefits offered by this job

Employee benefits

Gothenburg location

Job summary

Chalmers University of Technology invites applications for a Doctoral student position in Gothenburg, funded for four years with an option to extend to five years by teaching up to 20%. The project focuses on physics-guided foundation models for multivariate time-series in automotive safety contexts.

You will work with AIXLab@Chalmers and Volvo Group, access industry data, and contribute to publications and validation workflows in real-world settings.

Qualifications

• Master's degree required in CS/EE or equivalent.
• Strong English communication skills.
• Proficiency in Python and PyTorch.
• Experience with large-scale GPU training and reproducible pipelines.
• Ability to formulate research questions and run empirical studies at scale.
• For non-Sweden education, a 4-year bachelor’s degree is accepted.

Responsibilities

• Take courses at an advanced level within the Graduate school of Computer Science and Engineering.
• Develop your own scientific concepts and communicate results in writing and speech.
• Develop reusable modeling frameworks for safety-critical time-series data and contribute to publications.

Skills

Python

PyTorch

Time-series modeling

English proficiency

Research methods

Communication skills

Education

Master's degree (120 credits) in CS/EE or equivalent

Master’s degree (60 credits) magisterexamen

4-year Bachelor’s degree acceptable outside Sweden

Tools

CUDA

Git

Job description

Chalmers University of Technology invites applications for a Doctoral student position in Gothenburg, funded for four years with an option to extend to five years by teaching up to 20%. The project focuses on physics-guided foundation models for multivariate time-series in automotive safety contexts.

You will work with AIXLab@Chalmers and Volvo Group, access industry data, and contribute to publications and validation workflows in real-world settings.