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Your Job: Lead the development and fine-tuning of AI models and LLMs specifically tailored for data mining in the physical sciences and engineering Fine-tuning and evaluation of open-source LLMs
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of PhD students and other students Support in establishing the institute Your Profile: Master`s degree with PhD in physics, chemistry, materials science, chemical engineering, or a related discipline
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. engineering with a focus on process engineering or chemistry) and successfully completed doctorate Practical knowledge of electrochemistry, electrochemical converters and/or process engineering systems
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study of artificial nanostructures with purpose-engineered quantum states Development of novel quantum sensors at the atomic scale Supervision and mentoring of masters and doctoral students Publication
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creative solutions for complex chemical and process engineering problem. Dehydrogenation processes: Construction of a test stand for the dehydrogenation of diol-based carrier molecules Explorative research
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engineering, process engineering, chemical engineering, energy technology or a comparable field with a subsequent doctorate In-depth knowledge of thermodynamics, energy engineering, fluid mechanics, heat and
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sciences / analysis, system or process engineering, or related fields with a subsequent doctorate Excellent knowledge of API programming and automation engineering such as LabVIEW and/or EPICS Advanced
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of AI models and LLMs specifically tailored for data mining in the physical sciences and engineering Fine-tuning and evaluation of open-source LLMs (e.g., Teuken 7B, Llama 3, Mistral 7B) specifically
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to scientists and investigate possible applications of ML in fields like Chemistry, Numerics, Computational Biology, Astrophysics, Heliophysics etc.. You will be involved in all phases of this process. You will
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`s degree and PhD in quantum physics, computer science, electrical engineering, mathematics or a related field Experience in quantum computer programming Experience in applying numerical methods and