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Professional qualifications (required) Relevant PhD degree (e.g. computer science, machine learning, statistics) Experience in developing deep learning models for 3D point cloud data Strong programming skills
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the divide between big data and educational theory. British Journal of Educational Technology, 54(5), 1095-1124. Swist, T., Gulson, K. N., Benn, C., Kitto, K., Knight, S., & Zhang, V. (2024). A technical
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30 Sep 2025 Job Information Organisation/Company University of Bergen Department Centre for the Science of Learning & Technology Research Field Educational sciences » Education Educational sciences
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related field. Documented expertise in machine learning and time-series modelling (e.g. LSTM, XGBoost, CNN). Strong programming skills in languages such as Python and R. Experience with phenotyping data
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., Hicks, B., & Buckingham Shum, S. (2023). Using causal models to bridge the divide between big data and educational theory. British Journal of Educational Technology, 54(5), 1095-1124. Swist, T., Gulson, K
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, artificial intelligence, machine learning, cybernetics or a closely related technical field. Competence in implementation and evaluation of AI systems. Expertise in distributed AI systems, autonomous multi
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8 Sep 2025 Job Information Organisation/Company University of Bergen Department Geophysical Institute Research Field Engineering » Computer engineering Physics » Metrology Physics Researcher Profile
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challenge. This project aims to explore data-driven Artificial Intelligence/Machine Learning (AI-ML) approaches to meeting this challenge. Possible topics include, but are not limited to: storylines
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challenge. This project aims to explore data-driven Artificial Intelligence/Machine Learning (AI-ML) approaches to meeting this challenge. Possible topics include, but are not limited to: storylines
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data, MRI data, and other types of data. Contribute to projects at LCBC with data analysis, development, and implementation of advanced machine learning models. Write and publish scientific articles