Master thesis - Robust 4D Radar Perception for Autonomous Driving: Detect and Classify Multipath

We are looking for one or two motivated Master’s students in Computer Science, Electrical Engineering, Engineering Physics, Robotics, Applied Mathematics, or related fields. Experience in one or more of the following is beneficial: - Machine learning or deep learning - Signal processing - Computer vision or multimodal perception - Probabilistic modeling and data analysis - Python and PyTorch - Autonomous driving, robotics, or sensor fusion The planned thesis start is January 2027. Number of students: 1 Start date for the thesis work: \[To be agreed\] Estimated time required: 20 weeks, full time (30 credits) **Contact persons and supervisors** Ajinkya Khoche, [ajinkya.khoche@scania.com](mailto:ajinkya.khoche@scania.com); Jonny Andersson, [jonny.andersson@scania.com](mailto:jonny.andersson@scania.com) Hiring Manager: Magnus Granström, [magnus.granstrom@scania.com](mailto:magnus.granstrom@scania.com) **Application** Your application must include a CV, personal letter, and transcript of grades. A background check might be conducted for this position. We are conducting interviews continuously and may close the recruitment earlier than the date specified. **References** 1. [Robometer: Scaling General-Purpose Robotic Reward Models via Trajectory Comparisons](https://arxiv.org/abs/2603.02115) Publication date: 1.10.2026 - 30.11.2026 (applications evaluated continuously) Requisition ID: 33771 Number of Openings: 1.0 Part-time / Full-time: Full-time Permanent / Temporary: Temporary Country / Region: SE Location(s): Södertälje, SE, 151 38 Required Travel: 0% Workplace: Hybrid [Apply now »](https://jobs.scania.com/talentcommunity/apply/1443724433/?locale=en_US)