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Job Description The Department of Energy Conversion and Storage, Technical University of Denmark (DTU), invites applications for a PhD scholarship in the development of all solid-state Li-metal
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they lead to electrochemical failures under low and high voltage bias. The project will also include the development of secondary electrochemical models as digital twins. This PhD project is part of CreCon
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position offers the opportunity to develop strong competencies in multi-agent systems, learning and optimization, while addressing a timely and high-impact challenge: the growing use of AI agents in
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stipend is open for appointment only from 1 September 2026. Your work tasks A PhD stipend or integrated PhD stipend in accelerated materials discovery is available. Development of new sustainable energy
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are eager to contribute to this rapidly developing field. Our research spans multiple disciplines, and we welcome applicants with backgrounds or interests in areas such as quantum optics, nanofabrication
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. You will be part of a team pursuing the development of novel integrated data analysis diagnostic tools that address key challenges in the field of energetic particle physics in fusion plasmas, such as
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. Experience working with deep learning software stacks, extensive software development experience, and knowledge of machine learning frameworks (such as transformers, torch, Megatron, triton etc.) are pluses
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is to develop RL methods that can search large policy spaces and support decision-makers in exploring robust strategies under deep uncertainty. Policy problems typically involve many control levers
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development of computational tools that will enable automated structure-property correlation. The research will be supervised by Associate Professor Stavros Gaitanaros. Responsibilities and qualifications We
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development, biomass availability, and sector coupling is experiencing significant growth. The group combines techno-economic modelling, system optimization, and infrastructure planning to address real-world