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- NTNU - Norwegian University of Science and Technology
- NTNU Norwegian University of Science and Technology
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Agriculture Apply for this job See advertisement About the position The Department of Plant Science, Faculty of Biosciences at the Norwegian University of Life Sciences (NMBU), in collaboration with
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by the Research Council of Norway (2025-2030). It comprises more than 200 faculty members from many higher education institutions in Norway, in collaboration with numerous public and private sector
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facilitating better cities and local communities. Energy, health and welfare, learning for life are our focus areas. In constant collaboration and dialogue with our surroundings, regionally, nationally and
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Innovation, SFI-CELECT (Research Centre for Effective Engineering and Learning in Complex Systems) . The positions are 3-year doctoral research fellowships starting in 2026. The PhD candidates will be embedded
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22nd March 2026 Languages English English English The Department of Mechanical and Industrial Engineering has a vacancy for a PhD Candidate in Learning the engineering from blueprints of past
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, and feed industry (Animalia, Nortura, TYR, KLF, Tine, Felleskjøpet Fôrutvikling). The project also includes international collaboration with Agroscope (Switzerland) and Agriculture and Agri-Food Canada
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-state model will be approximated using machine-learning surrogates and will be used for a real-time optimization, such that the plant operates optimally despite disturbances. The candidate will be part of
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for providing our industrial partners with privacy-preserving solutions for testing and improving learning and educational technologies without relying on real data. You are expected to collaborate with a team
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HEPARD Unique? • International and Interdisciplinary Training: Benefit from a unique opportunity to study and collaborate across multiple European institutions, gaining exposure to diverse academic
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for machine learning models to optimise membrane properties, structure, and fabrication. The fellow will play a key role in the experimental part of the project, including: Preparation and characterisation