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Experience with machine learning theory, evaluation metrics, algorithmic fairness, statistics, or optimization is an advantage Language requirement: Good oral and written communication skills in English
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these systems in both classical and quantum regimes, we aim to develop new methods for solving complex optimization problems and advancing machine learning architectures. The research involves investigating how
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. Competence in the theory of the finite element method is an advantage. Competence in the theory of numerical optimization is an advantage. Experience from high-performance computing is an advantage. Applicants
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16th August 2026 Languages English English English The Department of Civil and Environmental Engineering has a vacancy for a PhD in Predictive AI-Based Maintenance and Optimization of Building
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PhD Candidate to conduct research on Artificial Intelligence for managing Shipbuilding Supply Chains
NTNU and the application process here. ... (Video unable to load from YouTube. Accept cookie and refresh page to watch video, or click here to open video) About the position The Department of Department
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15th August 2026 Languages English Norsk Bokmål English English Are you interested in work motivation and optimal functioning at work? PhD Research Fellow in Management: Motivation Apply
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partitioning for parallel/distributed AI/ML Optimization of process-to-process communication in parallel/distributed AI/ML Enhancement of AI/ML with in-network computing & processing Adaptation & optimization
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interested in work motivation and optimal functioning at work, and would you like to conduct research in cooperation with skilled colleagues who share your research interests? You may be our new colleague
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algorithms, representation and learning of data and dynamical systems, geometric deep learning, topological and algebraic data analysis, optimization on manifolds, and operator- and PDE-based approaches
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Complexity» (NewPC). About the project/work tasks The project aims to develop multivariate algorithmic and complexity tools for optimization problems involving geometric and algebraic objects such as points