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Technologies at TUM’s School of Engineering and Design is looking for a doctoral researcher (f/m/d) in the area of Collaborative Machine Learning for the Energy Transition. You are passionate about machine
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-reviewed publications in leading machine learning and interdisciplinary venues, open-source software tools, and collaborative research initiatives. The successful candidate will also contribute
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optimisation before physical manufacturing begins. This project aims to develop advanced deep learning models capable of predicting fabrication outcomes and guiding fabrication recipe optimisation. By learning
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-reviewed publications in leading machine learning and interdisciplinary venues, open-source software tools, and collaborative research initiatives. The successful candidate will also contribute
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-physical systems security, protection of critical infrastructure, and adversarial machine learning. The position will involve collaborating with faculty and graduate students on interdisciplinary research
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seminars, workshops, and collaborative initiatives. Mentor graduate and undergraduate students involved in research activities. Teach up to one course per academic year, depending on departmental needs
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enterprises (SMEs). The postdoc will work at the intersection of cybersecurity, machine learning, and human centered system design, contributing to the research on privacy aware monitoring, attacker modelling
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Post-Doctoral Associate in the Center for Interdisciplinary Data Science and Artificial Intelligence
. Develop and evaluate GPT-powered AI tutor systems, integrating insights from classroom data to deliver individualized learning experiences. Collaborate with interdisciplinary teams to create interactive
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at an industrial scale in collaboration with global companies in semiconductor fabrication and electronic design automation. The position offers a rare opportunity to apply machine learning to an important technical
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, research and innovation. As part of the Autonomous Pack project led by packaging tracking start-up GoodFloow, in collaboration with researchers at IMT, INRIA and IRCICA, and which aims to develop reusable