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Field
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solid working knowledge of Linux environments and scripting languages (e.g., Bash, Python) strong teamwork, combined with a structured, independent, and detail-oriented working style good command
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. This requires proficiency in Python and familiarity with modern ML libraries. Scope: Identifying and formalizing evaluation properties for concept-based XAI methods Adapting an existing benchmark suite
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, computer science, mechanical engineering or electrical engineering Ideally, you have already gained some programming experience with Python and have already tried your hand at data science You may even have used
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in Python with knowledge of NumPy, Pandas, SQL, Bash, Docker, git, etc. Willingness to clean large, messy datasets Excitement about clean, structured code Conscientiousness in implementing, testing
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, chemical engineering, or a related field Experience in modeling (e.g. using Aspen, AVEVA, Python) is an advantage but not required Knowledge of thermodynamics, process engineering, and electrochemistry is a
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Python programming, allowing you to broaden your research experience besides your studies. Furthermore, you will collaborate with a highly experienced research team with interdisciplinary backgrounds. Here
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experimental systems for cryogenic measurements Development of a microwave quantum control & readout stack Development of Python code to operate quantum systems Detailed experimental characterization
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(e.g. Python) preferable You have already taken on responsibility, e.g. in supervising doctoral students, leading small teams or in coordinating research roles, and would now like to develop
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Extensive knowledge of X-ray methods Knowledge of synchrotron science Knowledge of catalysis Experience in energy storage Experience with programming languages (ideally Python) Fluent in written and spoken
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are expected. Knowledge in parallel programming is desirable. Prior knowledge in differential-algebraic equations, Gaussian processes or kernel based methods is a plus; programming experience in Python or C/C