57 programming-"the"-"DAAD"-"IMPRS-ML"-"UCL"-"Prof"-"IDAEA-CSIC"-"U.S" positions at Technical University of Munich in Germany
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04.11.2025, Wissenschaftliches Personal We are looking for a full-time employee to join our team working on the EUROfusion project, starting on January 1, 2026 as Scientific Advisor to the Program
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Dec 2025 - 23:00 (UTC) Type of Contract To be defined Job Status Full-time Hours Per Week To be defined Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the
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independent and creative research; Solid programming experience in C++ and/or Python, and familiarity with modern robot learning frameworks; Proven expertise in one or more of the following areas: robot
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dedicated qualification program, as well as interdisciplinary collaboration and networking opportunities. We look for • a team player with the ability to work independently with an excellent master's
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excited to make a real impact with their thesis work in the field of robotics; Strong programming skills in C++ and/or Python, as well as experience in implementing robot learning algorithms; A strong
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analysis Advise and support researchers in their programming tasks, perform scientific software engineering, and generate specific application programming interfaces Develop and monitor data harmonization
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and present at international conferences Required Qualifications Master’s degree in computer science, or a closely related field Strong programming skills in Python and experience with deep learning
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programming experience; apply by sending CV and transcripts to alanwar@tum.de About the Role: Join us to push the state of the art in formal verification and reachability analysis for discrete-space systems
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Documented expertise in developing and training machine learning models (ideally with a focus on LLM), high-performance computing, data management, and software architecture Strong Python programming skills
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-on experience with robotic hardware (e.g., robot arms, tactile sensors) Familiarity with model-based planning approaches, robot force/motion control, and reinforcement learning Proficiency in programming (C