Master thesis - Efficient World Representations for End-to-End Autonomous Driving

Job description** During the thesis period, you will: - Review relevant literature and help define a focused research question. - Set up or reproduce an open-source autonomous-driving model, simulator, or benchmark. - Implement and evaluate a method, benchmark extension, or experimental framework. - Analyze relevant trade-offs in planning performance, safety, generalization, latency, memory, or computational cost. - Document the work, present the results, and write the final thesis report. The expected outcome is a reproducible model baseline, evaluation method, or experimental framework that can support future research within EGoPT. **Education/program/focus** You are pursuing a Master's degree in computer science, machine learning, robotics, engineering physics, electrical engineering, or a related technical 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, representation learning, or simulation; and motivation to combine scientific investigation with practical implementation. Number of students: 1 Start date for the thesis work: January 2027 Estimated time required: 20 weeks, full-time (30 hp) Location: TRATON Group R&D, Södertälje **Contact persons and supervisors** Industrial supervisors: Rafael Valencia Carreño, [rafael.valencia.carreno@scania.com](mailto:rafael.valencia.carreno@scania.com) Thomas Gustafsson, [thomas.gustafsson@scania.com](mailto:thomas.gustafsson@scania.com) Hiring managers: Maria Linnarsson, [maria.linnarsson@scania.com](mailto:maria.linnarsson@scania.com), 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. Publication date: 1.10.2026 - 30.11.2026 (applications evaluated continuously) Requisition ID: 33765 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/1443733633/?locale=en_US)