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Research Support Positions Application Deadline 20 Oct 2026 - 23:59 (Europe/Oslo) Country Norway Type of Contract Permanent Job Status Full-time Is the job funded through the EU Research Framework Programme
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outside Norway are asked to provide a diploma supplement or similar document that details the study program and grading system. A copy of the Master's thesis. If you have recently submitted your Master's
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, with a primary focus on the interface between reactor output and the ship's overall power demand. This work will be carried out on a nuclear reactor simulator, with the possibility of validating results
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education programme Carry out high quality research Develop material integrity predictive framework using different experimental and simulation approaches Participate in project meetings with supervisors and
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conferences, workshops and discussions Be prepared for changes to your work duties after employment. Required selection criteria You must meet the requirements for admission to the faculty's Doctoral Programme
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programme and grading system. A copy of the Master's thesis. If you recently submitted your Master's thesis, you are encouraged to attach a draft of the thesis. Documentation of a completed Master's degree
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PhD Candidate to conduct research on Artificial Intelligence for managing Shipbuilding Supply Chains
methodologies, such as simulation, analytical modelling, and AI‑driven techniques, to develop decision support for efficient planning and coordination of production activities in supply chains and generate
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2nd October 2026 Languages English English English The Department of Computer Science has a vacancy for a PhD Candidate for Developing Efficient Search Engines Apply for this job See advertisement
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that can be benchmarked through physical experiments or computational simulations. The project is funded by the Research Council of Norway and is a collaboration between NTNU and Norsk Regnesentral
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often rely on restrictive assumptions or application-specific computational workflows. The PhD project aims to address these limitations by developing a unified, scalable, and interpretable framework