A 20-week master's thesis (30 credits, 1-2 students, starting January 2027) at Scania/TRATON R&D in Södertälje, Sweden. The student develops deep-learning driving policies using imitation learning and embodiment conditioning, exploring transfer from passenger-vehicle data to heavy-duty truck configurations and multi-vehicle training frameworks.
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