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studies, critical infrastructure studies, heritage research, and spatial analysis. The PhD position is funded for three years, starting 1 March 2027 and ending 28 February 2030, and is embedded within
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and interpret imaging, molecular and omics-derived datasets. Contribute to the analysis of clinical samples and biopsies where relevant. Participate in scientific writing, dissemination and preparation
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research projects and centers. (See for instance http://www.mn.uio.no/geo/english/about/organisation/geohyd and https://www.mn.uio.no/geo/english/research/groups/remotesensing ). We are a growing, lively
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for Physical Geography and Hydrology, which has long-term experience in investigating the terrestrial cryosphere and is involved in various high-level research projects and centers. (See for instance http
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infrastructure and surrounding terrain. The work can include physics-based modelling of e.g., various events and wave propagation through different media, signal processing, large-scale data analysis, algorithm
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), analytics (SEC-MALS/A4F) as well as spectroscopy (NMR/fluorescence/UV/vis) – all supported by quantitative data analysis. The PhD candidate will contribute to bridging research activities across groups based
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in geospatial data analysis is an advantage. Applicants must be able to work independently and in a structured manner and demonstrate good collaborative skills. Applicants must have good written and
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the Norwegian educational system A strong interest in, and preferably documented experience with, qualitative research methods (e.g., interviewing, narrative analysis, comparative case studies) Demonstrated
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31, 2026. No one can be appointed for more than one PhD Research Fellowship period at the University of Oslo. The position is placed in the Digital Signal Processing and Image Analysis group (DSB
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The position will be attached to the project “SURE-AI” (http://www.sure-ai.no/ ) funded by The Research Council of Norway, and lead by Simula Research Laboratory. The main focus of the research will be