Thesis project - Edge-Deployable ML/AI Virtual Sensors using Physics Informed Neural Networks (PINN)
Zeekr Technology EuropeGothenburg, Sweden
Posted October 14, 2025
Full Time
About the Company
We are engineers, developers, and innovators from around the world. Joined together by entrepreneurship, our unique blend of global culture, and a belief in a smarter more sustainable future.
Job Description
We are Zeekr Technology Europe, a company powered by engineers and creative minds from all over the world. We are looking for two students to work on a thesis project to design and evaluate edge-deployable virtual sensors powered by Physics-Informed Neural Networks (PINNs) for vehicle state estimation.
Requirements
- Ongoing Master’s degree in Computer Science, Physics, Complex Adaptive Systems, or relevant fields with specialization in Machine Learning
- Strong background in Deep Learning (CNN, RNN, LSTM, GAN, etc.)
- Experience with Machine Learning for Time-series or Dynamical systems
- Experience with Machine Learning frameworks (e.g., TensorFlow, PyTorch)
- Knowledge in Control systems, Vehicle dynamics or Applied physics
- Strong programming skills in Python, C/C++, or similar languages
- Familiarity with embedded or real-time computing constraints
- Strong analytical and problem-solving skills
Benefits
- Unique opportunity to work on a thesis project with a global company
- Chance to contribute to the company's innovation capabilities and long-term development
- Opportunity to work with a diverse team of engineers and developers from around the world
