Master Thesis - Optimizing Sparse 3D Occupancy Prediction for Embedded Devices - REF5666W job opportunity at Aumovio.

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Date2026-04-23T06:18:09.696Z bot
Aumovio Master Thesis - Optimizing Sparse 3D Occupancy Prediction for Embedded Devices - REF5666W
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degreeMaster's (M.A.)
loacation Max-Urich-Straße, Berlin, BE, Germany
loacation Max-Urich-Stra..........Germany
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Job DescriptionHey, you are looking for an exciting thesis and would like to gain valuable insights into the field of 3D Semantic Occupancy Prediction for Embedded Devices? Then we have just the thing for you!We are looking for you starting in February for a period of 6 months to support us in our AI laboratory in Berlin. We will need you mostly on site in Berlin. But we also understand that there are days when you'd rather work from home. Therefore, together we find a solution that suits us all - remote working hours are therefore possible in consultation with your supervisor.The following tasks are to be processed in this Master's thesis:You will actively work on sparsifying, pruning and quantizing CNN and transformer-based architectures for autonomous drivingDesign, implement, and evaluate models and training algorithms for runtime optimized 3D semantic occupancy predictionsSummarize research findings in a paper/ master thesis and/or patent submissionWhile not mandatory, this position is particularly well-suited for students who are considering a future in research or pursuing a PhD.

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