Master thesis - Robometer for Autonomous Driving Data Selection

We are looking for a Master’s student in computer science, machine learning, robotics, engineering physics, electrical engineering, or a related field. - A suitable candidate should have: - strong programming skills, preferably in Python and PyTorch; - knowledge of machine learning and deep learning; - an interest in autonomous driving, computer vision, transformers, multimodal models, or explainable AI; - experience with vision-language models, natural-language processing, model interpretability, or autonomous-driving datasets is beneficial but not required; and - motivation to combine scientific investigation with practical implementation. 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** Caroline Skoglund, Industrial PhD Student (KTH Robotics, Perception and Learning) [caroline.skoglund@scania.com](mailto:caroline.skoglund@scania.com) Cristina Cipriani, Research & Development Engineer in Autonomous Motion, [cristina.cipriani@scania.com](mailto:cristina.cipriani@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: 33770 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/1443725733/?locale=en_US)