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Helmholtz-Zentrum hereon GmbH in Geesthacht invites applications for a two-year postdoctoral researcher position in agentic AI applied to computational modeling. You will develop autonomous AI-driven simulations and push the frontier of computational science, with focus on materials modeling, biomedical engineering, and environmental modeling.
The role requires a strong theoretical and programming foundation, PhD in a related field, and excellent communication in English.
Developing computational models and running computer simulations in science and engineering still requires substantial expert knowledge. Agentic artificial intelligence (AI) offers a great opportunity to automate these demanding tasks to a large extent. We are offering a 2-years position, as soon as possible, as a postdoctoral researcher in the area of agentic AI in computational modeling.
Equal opportunity is an important part of our personnel policy.We would therefore strongly encourage qualified women toapply for the position. In principle, the full time position (39 h/ week) is also sharable.
Together with our team, you will push the frontier of agentic AI systems in computational modeling. That is, you will develop systems that leverage agentic AI to automate the development and execution of computer simulations. The objective is creating largely autonomous systems for computational modeling. The main application areas are the various areas of computational science and engineering with a strong focus on computational material science (both at the macroscale and atomic scale), biomedical engineering / biomechanics, and process engineering. However, also applications in environmental modeling (in particular coastal research and climate research) are potentially of interest.
You should have a master's degree and PhD degree in computational engineering, applied mathematics, computer science, or any other field closely related to computational modeling in science and engineering. You have a strong background in the theoretical foundations of engineering, science and applied mathematics. It is an advantage (though not mandatory) if you have prior knowledge in ontologies, knowledge graphs, and / or robotics. You have demonstrated your excellent skills by outstanding grades during your bachelor's and master's program, in particular in those courses related to this call. You have very good programming skills in Python and ideally also C++. Proven experience in code development is crucial and will be checked during the job interview. Moreover, you have strong skills in communicating science in English.
Schwerbehinderte und diesen gleichgestellte behinderte Personen werden bei gleicher Qualifikation und Eignung im Rahmen der gesetzlichen Bestimmungen bevorzugt berücksichtigt.