34 machine-learning "https:" "https:" "https:" "https:" "https:" "University of St" research jobs at University of Bergen
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as a PhD candidate at UiB. Where to apply Website https://www.jobbnorge.no/en/available-jobs/job/295159/phd-research-fellow-in-ph… Requirements Research FieldPhysicsEducation LevelMaster Degree
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, and relevance for the AI centre and Work Package 2. The department will host an online orientation meeting for the position 8 January 2026 at 14.00 hrs (CET). Participate at: https://uib.zoom.us/j
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at 14.00 hrs (CET). Participate at: https://uib.zoom.us/j/62281498137?pwd=Qakqii2iD8DxRLgrArHcugDrNKyEbW.1 Project proposal: The artistic research project proposal should place the project in a subject
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the Department). The position is financed by the University of Bergen. About the project/work tasks The PhD project aims to investigate how methods from Scientific Machine Learning (SciML) can enhance modelling
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the use of modern machine‑learning methods within applied mathematics—particularly physics‑informed learning, anomaly detection, data‑driven modelling, and the construction of surrogate models grounded in
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position (100%, three years) is related to finance and insurance. The theme of the research project will lie within areas such as: simulation and risk modelling using advanced statistical and machine
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datasets from laboratory experiments will be provided to support simulation and verification of the resulting model. Replicate and learn a theoretical model for wave and current interaction by posing
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exam before 15.06.2026. It is a condition of employment that the master's degree has been awarded. Background in optimization is required. Experience in machine learning is an advantage. Familiarity with
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solvers, with the goal of exploiting models of various complexity, ranging from high-performance computing, via reduced-order models to data-driven (machine-learned) representations. In particular, we
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Centre SVT is an interfaculty centre with 10 permanent academic staff, 2 postdoctoral fellows, and 7 PhD candidates. Staff and PhD candidates conduct research, teach, and engage in outreach in the field