7 ensemble-prediction PhD positions at NTNU Norwegian University of Science and Technology
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Experience with AI / probabilistic AI / Machine Learning Experience with numerical optimization and MPC Strong programming skills (Python, C) Experience with predictive maintenance, fatigue, fault detection
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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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Optimization (AI/ML) Developing AI/ML models to predict drillability issues based on mechanical rock properties Real-time parameter optimization (WOB, RPM, flow rate, etc.) using machine learning techniques
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the maritime value chains. The objective of this PhD project is to develop AI methodologies for the analysis part of condition monitoring (CM) and predictive maintenance (PM). The primary challenge in predictive
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particle clustering and morphology affect strain localization and damage evolution. Integrate experiments and modelling to create predictive tools for recycled alloy performance. Your immediate leader is
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the planning, operation, and maintenance of distribution systems. Some of the goals of WP1 in SecurEL deal with the development of Methods and indicators to monitor and predict Security of Supply including risk
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tools often fail to predict stability issues due to model inaccuracies and the uncharacterized dynamics of PECs, which are typically proprietary and not fully disclosed by manufacturers. Efforts