35 algorithm-development-"Multiple"-"Prof"-"Prof"-"Simons-Foundation" "U.S" positions at Utrecht University in Netherlands
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Postdoc: Hybrid Geospatial Modelling and Scenario Development of Carbon Faculty: Faculty of Geosciences Department: Department of Physical Geography Hours per week: 32 to 40 Application deadline
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of computer science; You’re enthusiastic about (and ideally experienced in): inference algorithm development and evaluation for statistical computing and machine learning; applications of statistical computing and
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Postdoc: Hybrid Geospatial Modelling and Scenario Development of Biomass Faculty: Faculty of Geosciences Department: Department of Physical Geography Hours per week: 32 to 40 Application deadline
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PhD position on decadal coastal dune development Faculty: Faculty of Geosciences Department: Department of Physical Geography Hours per week: 36 to 40 Application deadline: 8 September 2025
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communication and organisational skills for effectively collaborating with diverse partners and managing multiple (development) tasks within the project; software engineering knowledge; demonstrated experience
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-centred artificial intelligence. Demonstrated experience in prototype development and with quantitative and qualitative research methods, preferably also experience with user-centred design. Interest in
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develop innovative methods to measure diverse isotope dimensions for methane, as well as organic precursors, in order to trace carbon flow in methane-related ecosystems; 2) You will conduct culture
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Postdoc in Carbon Capture, Utilisation and Storage Techno-Economic Assessment Faculty: Faculty of Geosciences Department: Department of Sustainable Development Hours per week: 36 to 40
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Professor Appy Sluijs, and close collaboration in this project will be with Dr. Peter Bijl. Multiple others will be involved for specific aspects of the project, including several scientists involved in
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with the Utrecht University team and OpenGeoHub together with other project partners, to develop surrogate and hybrid modelling frameworks combining process-based models with data science methods. A