Description
Zenseact is hiring a paid master's thesis student to conduct open-ended research in autonomous-driving perception and world modeling. The student will choose one of six projects involving self-supervised learning, synthetic data, occupancy prediction, 3D scene understanding, or related methods, and will work with sensor data, deep-learning experiments, neural-network training, architecture design, and model analysis. The thesis runs during Spring 2027 in Gothenburg, Sweden, with primarily on-site collaboration and flexibility, and requires enrollment in a relevant master's program.
