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), or being combined with a practical modeling project. Your Profile: You are highly motivated, with an interest in probability theory, mathematics, and data science. Very good practical C++ and Python
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with industrial communication protocols (e.g., OPC UA, Modbus, Profibus, EtherCAT) Experience with programming and scripting languages (ideally Python, C/C++, or similar) for system integration and
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reaction engineering Experience with process simulation software (e.g. Aspen, AVEVA, Python, ...) is an advantage but not required Excellent organizational skills Ability to show initiative and work
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, statistics, data science, or a related field. Intermediate to advanced written and oral command of English. Some familiarity with scientific data analysis and programming (e.g., in R, Python). Ability
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Proven experience in causal inference or explainable AI, ideally documented through peer-reviewed publications Strong programming skills (preferably in Python), with experience in developing research
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learning, statistical modeling, and modern AI methodologies Strong programming skills, preferably in Python and common data analysis frameworks Experience in designing, conducting, and documenting data
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Python/Java/C++ be proficient in written and spoken English be able to work in a team We offer: Working in a team of enthusiastic scientists who work to push the boundaries of knowledge in the field in
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with python programming, image processing, agent-based systems Ideally, good communication skills in both German and English You are enthusiastic about learning new practical skills, approach unfamiliar
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and pursue research projects independently as well as in collaborations with multi-disciplinary teams. experience in statistical data analysis and programming (e.g. R, Python, Perl, C++) as
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, geosciences, mechanical/electrical engineering, or a related field Very good understanding of data analysis and/or machine learning Programming experience, ideally in Python and C (additional languages such as