Computer Vision & Perception for AD: Master Thesis Projects 2027, Cluster A

Your mission and day-to-day tasks

Together with experienced researchers and engineers, you will

• Review state-of-the-art research

• Work with large-scale sensor datasets

• Design and run deep-learning experiments

• Train and evaluate neural networks

• Build perception and world-model architectures

• Analyze model behavior and failure cases

• Present findings and recommendations

You will have significant ownership of your thesis while receiving guidance from experts in the field.

Qualifications & Experience

We're looking for students with strong technical foundations, curiosity, and a desire to learn.

You are currently pursuing a Master's degree in Computer Science, AI, Machine Learning, Robotics, Engineering Physics, Electrical Engineering, Applied Mathematics, or a related field.

Essential

• Strong Python programming skills

• Understanding of machine learning fundamentals

• Experience working with data and experimentation

• Ability to read scientific literature

• Strong English communication skills

Experience in one or more of the following areas

• Deep learning frameworks such as PyTorch or TensorFlow

• Foundation models, self-supervised learning, or representation learning

• Computer vision, sensor fusion, or world models

• Occupancy prediction or 3D scene understanding

• Research projects, publications, or open-source contributions

Previous experience with the exact methods used in a project is not required. Strong fundamentals, curiosity, and a willingness to learn matter most.