21 bayesian-inference-tracking Postdoctoral positions at Technical University of Munich in Germany
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07.10.2025, Wissenschaftliches Personal We are looking for an outstanding, self-motivated postdoctoral researcher. The candidate should have a strong track record and experience in intestinal
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of clinicians, engineers, and computer scientists, and contribute to publications and conference presentations. Profile PhD track: Master’s degree in Computer Science, Biomedical Engineering, Data Science, or
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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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) 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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: 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