111 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"U.S" positions at Technical University of Munich
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preference in case of generally equivalent suitability, aptitude and professional performance. Data Protection Information: When you apply for a position with the Technical University of Munich (TUM), you are
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groups. Applicants with disabilities will be given preference in case of equal qualifications. More information about our research and team can be found here: www.lse.ls.tum.de/fmp. Application – Please
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15.11.2025, Wissenschaftliches Personal For the Chair of Advanced Analytics in Manufacturing Management, which is part of the Heilbronn Data Science Center and the TUM School of Management
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use of machine learning methods to process complex data sets. The focus is on techniques such as ultrasound, radar, computed tomography, acoustic emission analysis, and infrared thermography. Industry
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. Publish and present findings in international journals and conferences. Supervise and mentor junior researchers and students. Profile PhD in Computer Science, Biomedical Engineering, Data Science, or a
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immediately and continue until the position is filled. Preference will be given to applications received by January 15, 2026. Only shortlisted candidates will be contacted. Data Protection Information: When you
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of entrepreneurship and/or family business, • possesses solid knowledge of empirical research methods, ideally in quantitative, qualitative, or experimental research designs, • demonstrates proficiency in data
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actively seek, select, and evaluate information to learn about the world. This is an open-topic position for doctoral or postdoctoral researchers who wish to pursue their own research ideas within the broad
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young scientists worldwide to German research institutions. For more information, see here . The position is suitable for disabled persons. Disabled applicants will be given preference in case
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at the Professorship of Energy Management Technologies are focusing on the design and evaluation of innovative data- and machine learning-based systems to integrate more renewable energy into our energy systems and make