42 evolution "https:" "https:" "https:" "https:" "https:" "https:" "University of St" positions at UiT The Arctic University of Norway
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Lars Åke Andersen 13th March 2026 Languages English English English Faculty of Health Sciences PhD fellow in Child Development Apply for this job See advertisement The position A PhD position is
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sheet evolution, methane hydrate fluxes, or applying machine learning to geosciences to reconstruct glacial histories and project future ice sheet behavior. Please read this interview for more details
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and magnetic data to map subsurface structures 3. Basin modelling, with knowledge of sedimentary processes and tectonic evolution The project would contribute to mapping the thickness of sedimentary
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for more details: https://ic3.uit.no/news/sediments-analogues-past-ice-streams-landscapes Within this research area, you can pursue the research questions and methodologies that you are most passionate about
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of the interactions between glaciers and oceans, with a focus on the European Arctic. Please read this interview for more details on Pedro’s work: https://ic3.uit.no/news/msca-physical-biochemical-modeling Within
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details on Philipp’s work: https://ic3.uit.no/news/polar-marine-ecosystems-msca Within this research area, you can pursue the research questions and methodologies that you are most passionate about – this
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Stig Brøndbo 18th January 2026 Languages English English English Faculty of Science and Technology PhD fellow in “LLMs based Knowledge Graphs towards Digital Twin Development in Green Shipping
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23 Jan 2026 Job Information Organisation/Company UiT The Arctic University of Norway Department Department of Research and Development Research Field Pharmacological sciences Researcher Profile
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23 Jan 2026 Job Information Organisation/Company UiT The Arctic University of Norway Department Department of Research and Development Research Field Pharmacological sciences Researcher Profile
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AIS data from ocean-going vessels. The objective of the Ph.D. position is to develop: Development of frequency domain machine learning applications to detect risk or threat situations in underwater