PhD: Physics-Guided Time-Series AI for Automotive Safety

Chalmers Tekniska Högskola AB; Göteborgs kommun; On-site; SEK 351,000 - 420,000; Full time

Benefits offered by this job

Employee benefits

Job summary

Chalmers Tekniska Högskola AB invites applications for a Doctoral student position in physics-guided foundation models for multivariate time-series data, with automotive applications. You will design predictive and generative models and validate them in simulation to advance safe automation.

The project is a collaboration between AIXLab@Chalmers and Volvo Group. You will work with engineers and researchers on real datasets, scaling training on GPUs and contributing to publications and industrial

Qualifications

• Master's degree (120 credits) in CS/EE or equivalent; 60 credits magisterexamen accepted.
• Strong English written and verbal communication.
• Solid ML fundamentals and interest in time-series and physics-guided ML.
• Proficiency in Python and PyTorch.
• Experience with large-scale GPU training and reproducible pipelines.
• Ability to formulate research questions and run scalable empirical studies.

Responsibilities

• Design predictive and generative models for multivariate time-series.
• Scale training on real data and validate in simulation with industry partners.
• Develop physics-guided architectures incorporating dynamics and conservation laws.
• Publish results in top-tier ML or AI venues and contribute to industrial validation pipelines.

Skills

English proficiency

Machine learning fundamentals

Python & PyTorch

Research design

Large-scale training

Time-series modeling

Education

Master's degree (120 credits) in Computer Science or Electrical Engineering

4-year Bachelor's degree accepted outside Sweden

Tools

GPU clusters

PyTorch

Job description

Chalmers Tekniska Högskola AB invites applications for a Doctoral student position in physics-guided foundation models for multivariate time-series data, with automotive applications. You will design predictive and generative models and validate them in simulation to advance safe automation.

The project is a collaboration between AIXLab@Chalmers and Volvo Group. You will work with engineers and researchers on real datasets, scaling training on GPUs and contributing to publications and industrial