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Field
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focus on developing key technologies that are vital for the future and enabling the commercial utilization of this work by business and industry, Fraunhofer plays a central role in the innovation process
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, regardless of gender, cultural background, nationality, ethnicity, sexual identity, physical ability, religion and age. People with severe disabilities are given preference if they have the same aptitude
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-time commitment with a physical presence at TUM. Teleworking is not permitted. Candidates must reside in Munich or be willing to relocate to Munich. Educational Background/Training: The ideal candidate
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. International applicants are strongly encouraged to apply. Application Process We look forward to receiving your complete application. Please upload them using the subject line “84RSIPhD GAP” via the following
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scientist with a focus on data and AI Science to join us as soon as possible. Your qualifications PhD in Computer Science, Mathematics, Physics or related field Experience in applied data science and machine
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in process engineering, chemical engineering, chemistry, mechanical engineering, environmental sciences, or a related field Independent working style Willingness to conduct experiments on site Good
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involve the integration of: Advanced motion planning and control algorithms Multi-modal perception techniques (e.g., vision, tactile, force) Machine learning models for physical behavior prediction and
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outliers and pitfalls. You regularly interact with colleagues and present your results. What you contribute You study natural or engineering sciences, such as computer science, microelectronics, physics
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also find TUM’s information on collecting and processing personal data as part of the application process. Please submit your application by 3 February 2026 via the TUM recruitment portal
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the option of an unlimited contract afterwards. Qualifications and experience Required A scientific degree in computer science, computational science, engineering, physics, mathematics, or multiple years