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28th September 2026 Languages English English Norsk Nynorsk English PhD Research Fellow in Data-Driven Computational Mechanics for Offshore Wind Energy Apply for this job See advertisement UiB
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photoelectrochemical fuel production. The group has established an advanced research platform for electrochemical and photoelectrochemical energy conversion, including electrochemical workstations, a solar simulator, an
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for electrochemical and photoelectrochemical energy conversion, including electrochemical workstations, a solar simulator, an Incident Photon-to-Current Efficiency (IPCE) measurement system and a customised roll-to
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for electrochemical and photoelectrochemical energy conversion, including electrochemical workstations, a solar simulator, an Incident Photon-to-Current Efficiency (IPCE) measurement system and a customised roll-to
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five Research Centres, namely: The Computation-based Science and Technology Research Centre (CaSToRC) The Science and Technology in Archaeology and Culture Research Centre (STARC) The Energy Environment
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annum Apply by: 13/09/2026 Role Description We are delighted to announce a new opening for a postdoctoral researcher to work on offshore digital twins, focusing on fixed and floating wind turbines. The
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storage, demand‑side management, and hybrid PV–wind systems. Development of optimal strategies for increasing grid hosting capacity considering power quality, voltage stability, and losses. The research
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, and covalent organic frameworks (COFs). One project involves an original system that harvests water energy from nature (e.g., rain and rivers) and directly generates electricity by solid-liquid charge
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for extension to 36 months. The Research Fellow will support the development of GIS-based decision-support-tools for spatial planning, and cumulative effects assessment (CEA) of offshore wind (OW). The role will
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for spatial planning, and cumulative effects assessment (CEA) of offshore wind (OW). The role will focus on collecting, processing, and harmonising appropriate geospatial data, providing geospatial data