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reconstruction, and conversational AI to create photorealistic digital twins. Become part of our team and join us on a journey of research and innovation! Be part of change Testing new deep learning architectures
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Stud. assistant (m/f/d) - Obj. Detection in clutter and Obj. Tracking in robotic hand (in Heilbronn)
. The focus here is robust multi-camera fusion, accurate object detection in cluttered scenes (bulk goods), and multi-modal tracking that combines camera data with tactile feedback. Using deep learning, multi
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, technology-driven start-ups. To do this, we rely on talents like YOU – with a mix of deep tech projects, financial support, professional premises, and a strong network of mentors and coaches. As part of our
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-driven start-ups. To achieve this, we rely on talents like YOU – supported by deep-tech projects, financial resources, professional facilities, and a strong network of mentors and coaches. As part of our
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train deep learning models (CNNs, GNNs) for creating 2D floor plans Prepare data: Build our data pipelines – from reading architectural drawings to preprocessing and augmentation, all the way to labeling
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, and construction of optical systems in the laboratory Documentation and evaluation of experimental and simulation results Development and validation of machine learning algorithms (e.g., CNNs, deep
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-tuning simulation models of robot hands to accurately capture the physics of their real counterparts, using deep reinforcement learning to train policies for in-hand manipulation of various objects in
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researched and developed that will be used in current and future key topics. Become a part of our team and join us on our journey of research and innovation! What you will do Test new deep learning
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, Computer Science, or other related STEM programs. Strong understanding of mathematical modeling and simulation of dynamical systems, with a focus on time-series analysis. Experience with machine learning and deep
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The Fraunhofer Institute for Digital Media Technology IDMT is part of the Fraunhofer-Gesellschaft. Headquartered in Ilmenau, Germany, the institute is internationally recognized for its expertise in