41 bayesian-inference-tracking positions at Technical University of Munich in Germany
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. Interactive, adaptive learning technologies that integrate multimodal input (text, speech, gesture, eye-tracking) to provide personalized, responsive feedback. Human-AI co-adaptation: designing systems where
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CV and a brief track record (publications, projects, software, funding experience if applicable) to florian.hinterwimmer@tum.de . We appreciate your interest in the Technical University of Munich and
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Robotics, Mechanical Engineering, Electrical Engineering, or a closely related field Proven research experience and publication track record in robotic manipulation, deformable object handling, or related
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closely related field Proven research experience and publication track record in robotic manipulation, deformable object handling, or related domains Hands-on experience with robotic hardware (e.g., robot
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Researcher position in haptic teleoperation and shared control, with a particular focus on applications within the Geriatronics Lighthouse Initiative. We seek candidates with an outstanding academic track
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to state-of-the-art facilities, including virtual and augmented reality equipment, eye-tracking and facial expression analysis tools, and ECG and electrodermal activity measurement Participation in
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) expect to appoint an experienced postdoctoral researcher in Fall 2025 (with flexible starting date). We are looking for an innovative experimentalist (m / w /d) with an established research track record
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, adversarial attacks, and Bayesian neural networks. Excellent analytical, technical, and problem-solving skills Excellent programming skills in Python and PyTorch including fundamental software engineering
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: Excellent Master’s degree (or equivalent) in computer science, engineering, or related disciplines (typically mathematics, physics). For Postdoc applicants: Excellent track record in computer science
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required to create a holistic picture. Such additional information can improve the performance, help to reveal biases, or may enable to perform causal inference. We are interested in developing statistical