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- University of Oslo
- University of South-Eastern Norway
- University of Inland Norway
- University of Agder
- Integreat -Norwegian Centre for Knowledge-driven Machine Learning
- NTNU - Norwegian University of Science and Technology
- UiT The Arctic University of Norway
- University of Bergen
- NTNU Norwegian University of Science and Technology
- Nord University
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technological progress in our increasingly digital, data- and algorithm-driven world. Integreat develops theories, methods, models, and algorithms that integrate general and domain-specific knowledge with data
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increasingly digital, data- and algorithm-driven world. Integreat develops theories, methods, models, and algorithms that integrate general and domain-specific knowledge with data, laying the foundations of next
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theory, reinforcement learning, robotics and perception. You will investigate new algorithms and methods for robust and adaptive manipulation, including learning-based control for robotic systems and
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of the art (the project’s research field) Theory Methodology Work plan Results and hypotheses Bibliography Applications with a project description exceeding 1200 words will not be processed. The project
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, e.g. in Python, particularly for machine learning Experience with machine learning theory, evaluation metrics, algorithmic fairness, statistics, or optimization is an advantage Language requirement
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project’s research field) Theory Methodology Work plan Results and hypotheses Bibliography Applications with a project description exceeding 1200 words will not be processed. The project proposal will be
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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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at USN ” Introduction (the title, main problem and research questions and the background to the project) State of the art (the project’s research field) Theory Methodology Work plan Results and hypotheses
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, e.g. in Python, particularly for machine learning Experience with machine learning theory, evaluation metrics, algorithmic fairness, statistics, or optimization is an advantage Language requirement
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positive attitude and drive for learning skills, methods and theory • Ability to work in a structured manner, facilitating teamwork • Ability to prioritize and complete work tasks Employment in