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knowledge of quantitative methods, particularly in statistics and econometrics; experience in machine learning is a plus Background in business/management/behavioral science Experience with programming
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and evaluation of innovative data- and machine learning-based systems to integrate more renewable energy into our energy systems and make energy use more efficient. We develop new optimization methods
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failure mechanisms. The performance of the developed methods will be evaluated using real operating data. In addition, it will be investigated how reliability and safety conditions can be taken into account
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30.10.2025, Wissenschaftliches Personal Data-driven modeling and optimization of structural foams used in high-voltage battery systems for electric vehicles. As part of BMW’s passive safety and electrification strategy, the research aims to develop a multidisciplinary framework that combines...
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, Human-Computer Interaction, and their responsible applications. Ideal candidates will have: An M.Sc. degree (or equivalent) in Computer Science, Game Engineering, Mathematics, Statistics, or related
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• Conduct statistical consultation for Helmholtz scientists and industry partners • Evaluate and apply novel statistical methods in the context of applied research • Write statistical reports on experimental
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well as teamwork and communication skills. We offer: As a TUM doctoral student, you are automatically a member of the TUM Graduate School and benefit from an extensive qualification and continuing education program
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10.08.2021, Wissenschaftliches Personal Positions in the Formal Methods for Software Reliability group of TU Munich led by Prof. Jan Kretinsky: - postdoc in the area of quantitative verification
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these materials into high-performance fibers and functional materials. By manipulating molecular interactions through chemical and physical methods, we tailor the structural and mechanical properties of bio-based
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emerging technologies (AR, VR, AI) shape decision-making. YOUR PROFILE - Excellent Master’s degree in business, psychology, or computer science - Strong interest in marketing, psychology, new technologies