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successful applicant has a PhD degree and background in mechanical engineering or similar. Research experience on photonics and affinity with data-driven methods are a pre. Good spoken and written
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– Sustainable and AI-Driven Software Engineering Group at the SDU Centre for Computer Science and Artificial Intelligence in Campus Vejle. SustainAI is part of the Section of Artificial Intelligence
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algorithms and data analytics tools, and share your results with experimental collaborators. The position is part of the Research Council of Finland project ELPH-ML ( https://research.fi/en/results
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Delft University of Technology (TU Delft) | Delft, Provincie Zuid-Holland | Netherlands | 15 days ago
/364241/phd-position-foundation-models-… Requirements Additional Information Website for additional job details https://www.academictransfer.com/364241/ Work Location(s) Number of offers available 1
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mechanisms for information processing and learning, potentially inspiring novel paradigms that advance beyond traditional (silicon) computing. This PhD position aims to understand and advance in vitro neural
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Is the Job related to staff position within a Research Infrastructure? No Offer Description PhD Researcher The Singapore-ETH Centre was established in 2010 by ETH Zurich - The Swiss Federal Institute
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experience and interested in state-of-the-art AI technologies, data science, and research software engineering. This position offers the opportunity to work in a world-renowned research institute
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visions for the position Curriculum Vitae (CV) Diplomas (master's degree diploma and PhD diploma) List of publications, with an indication of the attached publications that you wish to be taken into
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projects on advanced finite element (FE) modeling, structural damage evolution, and data-driven analysis of large-scale engineering systems. Responsibilities and qualifications As a Research Assistant, you
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Doctoral student in physics-guided foundation model for time-series data Reference number REF 2026-0434 Join us to develop physics-guided, data-driven foundation models for multivariate time-series