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of measuring accumulated fatigue damage in steel structures prior to crack initiation, particularly in the high-cycle fatigue regime. The research focuses on developing a novel NDT-based technique and sensor
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project aims to develop an AI-powered Multi-Hazard Early Warning System (MHEWS) for real-time monitoring and protection of critical underwater infrastructure, including power cables, communication networks
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PhD Fellow in Anthropology: Bushmeat, Infrastructure and Zoonotic Risk in Africa–China Contact Zones
and zoonotic spillover. The project emphasises the multispecies and socio-ecological dimensions of bushmeat markets, including cultural beliefs, trade networks, and local responses to zoonotic risks
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networks, and pipelines. By integrating fiber optic sensing (OptoDAS), AI-driven threat and hazard detection, and vessel tracking data (AIS), INSURE will provide high-accuracy geo-positioning of threats and
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Convergence Environment’s professional and social activities and broad network of early career researchers (doctoral and postdoctoral fellows) Dedicated colleagues in a friendly and international research
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Biomedical Engineering. The research network Stavanger Artificial Intelligence Lab is hosted by this Department. The Department offers a bachelor program in Electrical Engineering and Computer Science, and
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cutting-edge genetic methods with a socially responsible approach Inclusion in the NeuroPathways Convergence Environment’s professional and social activities and broad network of early career researchers
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PhD Fellow in Anthropology: Bushmeat, Infrastructure and Zoonotic Risk in Africa–China Contact Zones
and zoonotic spillover. The project emphasises the multispecies and socio-ecological dimensions of bushmeat markets, including cultural beliefs, trade networks, and local responses to zoonotic risks
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at the department and affiliation to academic networks outside the department. Admission to the Faculty of Social Sciences’ doctoral programme is a prerequisite and a final project plan for the fellowship period is
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competence in systems development, data management, networking, or satellite data. an interest and previous experience in interdisciplinary collaboration or collaboration with industry. working knowledge