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+, …) Ability to work independently, willingness to learn, and interest in the subject matter What we offer Fascinating challenges in a scientific and entrepreneurial setting Open and cooperative working
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) Ideally, initial experience with FPGAs (Xilinx Vivado, Zynq Ultrascale+, …) Ability to work independently, willingness to learn, and interest in the subject matter What you can expect Flexible working hours
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bicycle, public transport or car free use of Nextbike from the Buch S-Bahn station to the campus subsidy for the job ticket as well as discounts in the campus canteen on-campus health and fitness center
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systems Real-time control Wavefront sensors based on deep learning Development and construction of new wavefront sensors You will write reports (in German) and publications (in English) What you contribute
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spoken English (other language skills are an advantage) Experience in scientific research and scientific work is an advantage Good computer skills (MS Office) Independent and creative working style
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, scientific libraries (PETSc, GSL, OpenBLAS), LLM/Deep learning pipelines and corresponding software libraries (e.g., TensorFlow, PyTorch). Familiarity with basic software engineering fundamentals, including
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adaptation to new environments. In particular, you will evaluate different methods to identify out-of-distribution domains. You will also evaluate different approaches for automated model-learning using
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is also expected. The successful candidate should be able to teach and research in English as well as in German and have a high level of proficiency. Since the professorship requires active
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Oversee and maintain daily laboratory operations, coordinate project-related tasks and collaborations Teach new team members in standard lab techniques Your profile Completed university degree (B.Sc.) in
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, nationality, ethnicity, sexual identity, physical abilities, religion or age. Qualified applicants with physical disabilities will be given preference. Learn more about diversity at Helmholtz Munich Our