55 algorithm-development-"Multiple"-"Prof"-"UNIS" PhD positions at Forschungszentrum Jülich in Germany
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spoken Preferably experience in software development Our Offer: We work on the very latest issues that impact our society and are offering you the chance to actively help in shaping the change! We support
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interdisciplinary teams Good written and spoken English language skills Ideally good German language skills, both written and spoken Preferably experience in software development Our Offer: We work on the very latest
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on the following tasks with either with a stronger model-development or application focus: Design knowledge-graph-augmented transformers and retrieval-augmented generation (RAG) pipelines that enable
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Your Job: Develop AI pipelines that translate -omic signatures into dynamic model parameters Implement reinforcement-learning agents that optimise model performance Collaborate closely with
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, your work will contribute to establishing a fundamental understanding of the mechanical properties and microstructure of newly developed advanced ceramic materials for solid oxide electrolyzer cells
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Your Job: As a PhD candidate you will develop and deploy an artificial intelligence (AI) driven approach to streamline high-throughput experimentation (IMD-3: Institute of Energy Materials and
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strengthen the data science and machine learning activities of the IAS-9 with exciting new topics. You will work in a multidisciplinary team of enthusiastic data scientists, software developers and domain
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research together with cutting-edge materials science and physics. Depending on your background you will work collaboratively on the following tasks with either with a stronger model-development or
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PhD Position - Organic Electrosynthesis: monitoring of reaction transients with real-time techniques
real-time analysis of electrochemical processes, developed in the Department of Electrocatalysis, will be applied by You to discover and develop novel Organic Electrosynthetic Protocols. Your tasks
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exciting new topics. You will work in a multidisciplinary team of enthusiastic data scientists, software developers and domain scientists on, e.g.: Developing self-supervised learning frameworks to extract