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the conditions defined for admission to a PhD programme at NMBU. The applicant must have an academically relevant education corresponding to a five-year master’s degree with a learning outcome
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1st September 2025 Languages English English English The Department of Computer Science has a vacancy for a PhD Candidate in Human-AI Interaction and Learning Apply for this job See advertisement
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underground conditions. Apply machine learning and AI techniques to enhance model accuracy and optimize design parameters. Contribute to the development of a comprehensive, AI-based design methodology for LUS
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open up exciting career opportunities? Are you interested in cable technology and condition monitoring and do you have a strong competence in signal processing and machine learning? As a PhD candidate
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criteria Demonstrated knowledge and experience in electrical system modeling and analysis, applied control, power electronic systems, optimization techniques, and/or machine learning. Experience with
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foundation for theory-guided catalyst design e. g. by machine learning approaches. Duties of the position Complete the doctoral education until obtaining a doctorate Carry out research of good quality within
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, NTNU. This PhD position is financed via the European Research Council’s Advanced Grant Program. The candidate needs to fulfill the requirements of NTNU for obtaining a PhD. The appointment has a duration
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weaker grade background, you may be considered if you can document that you are particularly suitable for a PhD education. You must meet the requirements for admission to the faculty's Doctoral Programme
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the PhD candidate may include (non-)linear inverse load estimation and data-driven/machine learning techniques that rely on physics-informed guidance for improved robustness. A key task will be to quantify
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particularly suitable for a PhD education. You must meet the requirements for admission to the faculty's Doctoral Programme (link ) Excellent oral and written presentation skills in English You must have