19 machine-learning-modeling PhD positions at NTNU Norwegian University of Science and Technology in Norway
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to work on cutting-edge research at the intersection of deep learning and computer systems. The successful candidate will join an international and collaborative research environment and contribute
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) and Reinforcement Learning (RL) to acquire manipulation skills and conduct dexterous grasping. PhD candidate will explore the use of Large Language Models (LLMs) to guide task understanding, planning
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, multi-agent systems and data-driven optimization. Basic skills and knowledge of machine learning principles. A good understanding of practical engineering challenges with a view towards impact. Personal
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research or project activities involving machine learning or data-driven modelling you demonstrate knowledge of energy systems, smart grids, or cyber-physical systems Personal characteristics To complete a
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into reliable information about structural and aerodynamic behaviour remains a challenge. The PhD will develop data-driven methods that combine measurements, physics-based models, and machine learning to extract
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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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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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feature maps and emerging quantum‑inspired or hybrid computational approaches to machine learning. Potential applications span time‑series analysis, dynamical system modelling, and the data‑driven study of
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Computer science » Computer systems Computer science » Programming Technology » Communication technology Technology » Telecommunications technology Researcher Profile First Stage Researcher (R1) Positions PhD
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to machine learning. This PhD provides a unique opportunity to shape emerging concepts in Artificial Intelligence Informed Mechanics (AIIM), combining fundamental research with methodological innovation. You