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candidate will work in a team with several researchers/professors including international collaborators and another PhD at the Faculty of Biosciences, Department of Animal and Aquacultural science. The main
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20th May 2026 Languages English English English The Department of Engineering Cybernetics has a vacancy for a PhD position. PhD Candidate in Reinforcement Learning and MPC Apply for this job See
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. The project collaborates with The Roslin Institute, The University of Edinburgh (Prof. Daniel J. Macqueen – lab website here ). This PhD project, entitled “PhD scholarship within cell biology and fish
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on the combination of Reinforcement Learning (RL) and Model Predictive Control (MPC). It will build up upon the work done at ITK on the topic. Several research focuses are considered: verification pathways in RLMPC
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shelf lives, and additionally may change colour, texture, and stiffness rapidly. Further, the lack of standardised 3D models for the wide variety of products makes offline learning challenging. As a
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the Norwegian University of Science and Technology (NTNU) has one vacancy for PhD candidate within change management and transdisciplinary collaboration, funded through the Centre for Research-based Innovation
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constraints. Depending on background and interests, the work may involve robust detection under distribution shifts and unseen interference conditions, resilient federated/decentralized (collaborative) learning
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constraints. Depending on background and interests, the work may involve robust detection under distribution shifts and unseen interference conditions, resilient federated/decentralized (collaborative) learning
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collaboration, funded through the Centre for Research-based Innovation, SFI-CELECT (Research Centre for Effective Engineering and Learning in Complex Systems) . The position is 3-year doctoral research
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inventories and provision of environmental information. Similarly, the developments in AI and machine learning allow for new and improved processing of remotely sensed data supporting precision forestry