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the Job related to staff position within a Research Infrastructure? No Offer Description Postdoc in Machine Learned Semiconductor Material Properties for Quantum Transport Simulations The simulation
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profile for their ideal candidates are described as follows. PREMAL is a project focused on privacy-preserving machine learning using FHE. The project will investigate trade-offs between accuracy, time, and
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contributions as a software engineer for a wide range of projects requiring computing systems design and realization, including machine learning (ML) and artificial intelligence (AI) applications including
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closely related field PhD training covering topics such as computational modelling, numerical methods, statistical analysis, machine learning or data-driven analysis of complex systems Experience 0–3 years
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Torbein Kvil Gamst 1st February 2026 Languages English English English Faculty of Science and Technology PhD Fellow in AI for Satellite Image Analysis Apply for this job See advertisement
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. You are driven by scientific curiosity, enjoy working with complex multi-physics models, and are eager to advance probabilistic methods, machine learning tools, and simulation techniques. If you thrive
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Intelligence, Machine Learning, Computer Science (with focus on AI/ML), Data Science, Software Engineering, or related field. Six (6) years of experience with real-world AI/ML projects, including designing
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active. The PhD will be supervised by Prof. Wouter Saeys and Dr. Bart De Ketelaere, with support from industrial partners. A (nearly) completed Master’s in Engineering (Bioscience, Electrical/Computer
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related to learning engineering and AI in education, working with a team of postdoctoral researchers, PhD students, and Master’s/undergraduate researchers across multiple universities and organizations
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of seven departments in the Faculty of Information Technology and Electrical Engineering . Where to apply Website https://www.jobbnorge.no/en/available-jobs/job/293643/phd-candidate-in-ai-suppo