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the wind/renewable energy training and research elements of the CDT programme. Funded by Statkraft and EPSRC, this 4 year this PhD studentship, at the University of Strathclyde is in the area of data
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, maintenance logistics, and weather-related downtime for offshore wind assets. Drawing on climate projections, metocean datasets, and offshore O&M modelling techniques, the research will develop data-informed
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electrical engineering and data science. The role is for the third intake of the EnerHy programme which commences in October 2026. Research project overview: This role offers an exceptional opportunity for a
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in conducting empirical research (e.g., experimental design, stimuli selection, recruitment, data collection, data analysis, report writing). Hands-on experience with experimental software (e.g
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influences that define and shape their early careers and practice, including the impact of different learning and professional development phases. Further information on the study is available at the TPJ
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of the Edo jidai josei seikatsu ezu daijiten (Ōzorasha, 1993). Information about the Consuming Nature project may be found athere . Candidates are strongly encouraged to contact the Consuming Nature Project
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operational constraints of complex HVDC infrastructure, drawing on real-world insights into converter stations, auxiliary systems, and system availability factors. The role will involve developing data-informed
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pathways, including lifetime extension, targeted component upgrades, partial repowering, full repowering, decommissioning, and asset recycling, drawing on real-world wind farm data and asset management
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with a focus on quantitative data analysis (e.g., econometrics, statistics, machine learning) A high motivation and the ability to work independently with a strong team orientation Excellent spoken and
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