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/organisation/geohyd and https://www.mn.uio.no/geo/english/research/groups/remotesensing ). We are a growing, lively, friendly and collaborative research environment in cold regions sciences, in
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PI and approximately ten other researchers (MSc and PhD students, post-docs and project researchers), as well as with an extended network of international collaborators. Job description The selected
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areas include: machine learning foundations, generative modelling, foundation models, cross-domain/-modality learning, explainable AI and mechanistic interpretability, representation learning, Bayesian
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areas include: machine learning foundations, generative modelling, foundation models, cross-domain/-modality learning, explainable AI and mechanistic interpretability, representation learning, Bayesian
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but could become disruptive in the future. The team operates to high academic standards, publishes in peer-reviewed journals and conferences, and has built a broad European and international network
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online at https://utah.peopleadmin.com/postings/204175 . Required materials: Letter of interest (cover letter) CV Research statement Teaching statement Exemplar publications that highlight expertise