Postgraduate research opportunities Advanced Analytics for Wind Energy Systems
ApplyKey facts
- Opens: Friday 30 May 2025
- Number of places: 1
- Duration: 4 years
- Funding: Home fee, Stipend, Travel costs
Overview
This PhD is part of the Engineering Hydrogen NetZero (EnerHy) Centre for Doctoral Training (CDT), a newly established EPSRC-funded initiative focused on advancing research and training in green hydrogen and wind energy. The University of Strathclyde leads the wind energy research and training components of the programme. Funded by Natural Power and the EPSRC, this four-year PhD studentship, as part of the second EnerHy intake, is centred on advanced analytics for wind energy data.Eligibility
This fully funded four-year studentship (covering fees, stipend, and travel budget) is open to candidates with a first-class or upper second-class degree (or equivalent) in Computer Science, Data Science, Machine Learning, or an Engineering/Science discipline with a data science/analytics component. To apply, submit a CV, cover letter, and academic transcripts to j.carroll@strath.ac.uk and drew.smith@strath.ac.uk.
Project Details
The wind energy data lifecycle spans pre-construction (e.g., meteorological mast data, LiDAR data, wind climate and energy yield modelling, environmental impact assessment data), operational phases (e.g., SCADA data, energy yield data, condition monitoring system data, nacelle lidar data, maintenance data etc), and decommissioning.
Despite the wind energy sector’s success in data collection, significant untapped potential remains in extracting value from this data. This PhD will explore advanced analytics techniques, including machine learning, digital twin modelling, time series analysis, spectral analysis, feature extraction etc, to enhance data utilisation and improve existing models or develop new models for wind energy systems.
The candidate will be hired knowing the general area of the PhD will relate to “advanced analytics of wind energy data” and the specific research focus and detailed research questions will be co-developed by the successful candidate and Natural Power during the first year of the programme.
Funding details
A fully funded four-year studentship (covering fees, stipend, and travel budget).
While there is no funding in place for opportunities marked "unfunded", there are lots of different options to help you fund postgraduate research. Visit funding your postgraduate research for links to government grants, research councils funding and more, that could be available.
Apply
To apply, submit a CV, cover letter, and academic transcripts to j.carroll@strath.ac.uk and drew.smith@strath.ac.uk.
Number of places: 1
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