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, and scalable computing platforms. The research aims to develop CMOS interface circuits and system architectures that tightly integrate with spintronic devices for applications including in-memory
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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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system development and empirical evaluation in real world settings. You will have the opportunity to shape the project based on your interests and in collaboration with a leading architectural firm. The
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Development Group (HEDG) , one of Europe’s leading centers for quantitative research in economic history, including the economic history of the arts. HEDG is recognized for its strong research profile
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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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. Applicants will be informed of their assessment by the university. About Nordcee At Nordcee, six key research areas are explored, Microbes and Element cycles; Deep-sea research, Co-evolution of Life and Earth
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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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. 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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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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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