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Study of mathematics, computer science, geoinformatics, physics, electrical engineering, or similar with good to very good grades Strong programming skills in Python with knowledge of frameworks such as
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, ideally with AI capabilities. Strong proficiency in technologies such as: TypeScript/React, Python/FastAPI, PostgreSQL/MongoDB Docker, Kubernetes, GitLab CI/CD, Terraform LLM integration (e.g., Hugging Face
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, Origin, R, Python) Driving licence (class B) is desirable The position will be filled by 1 October 2025 at the earliest. We offer an exciting position with varied activities in an interdisciplinary working
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academic area such as applied mathematics, computer science, physics, biomedical or electrical engineering or similar disciplines. Good programming expertise (Matlab, C++, Python or equivalent) and
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mathematics, computer science, physics, biomedical or electrical engineering or similar disciplines. Good programming expertise (Matlab, C++, Python or equivalent) and experience with the Linux operating system
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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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Biology, Computer Science or related studies) Experience in Python with PyTorch (or equivalent) programming Experience in sequencing data analysis Basic knowledge in machine learning Experience with linux
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natural sciences expertise in materials science and materials engineering, in particular methods of computational material science (e.g. DFT, CALPHAD) programming skills, e.g. Python basic knowledge of data
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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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(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