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University of Southampton

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PhD in Data-Driven Modelling and Intelligent Management for Modern Electrical Power Systems University of Southampton in United Kingdom

Degree Level

PhD

Field of study

Computer Science

Funding

Competition funded.

Deadline

Feb 28, 2027

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Country

United Kingdom

University

University of Southampton

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Keywords

Computer Science
Electrical Engineering
Materials Science
Reliability Engineering
Asset Management
Data-driven Modeling
Statistics
Power System
ML

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About this position

PhD opportunity at the University of Southampton in Data-driven modelling and intelligent management for modern electrical power systems.

This postgraduate research project sits in the Faculty of Engineering and Physical Sciences and focuses on electrical power systems, asset management, machine learning, condition monitoring, failure risk prediction, and maintenance optimisation. The project aims to build a data-driven framework for asset condition assessment, criticality ranking, and proactive maintenance planning.

You will investigate how operational, environmental, and condition-monitoring data can be combined to understand multi-stress degradation and predict asset failure risks. The work includes laboratory-based experiments, analysis of available datasets, review of published research, and modelling of asset performance and reliability. A key part of the project is improving maintenance efficiency and supporting better decision-making for power system reliability.

Students will join an interdisciplinary team in the Electrical Power Engineering research group and gain hands-on experience in the Tony Davies High Voltage Lab (TDHVL). The project also offers opportunities to develop transferable skills such as literature review, academic writing, publishing, and collaboration.

Entry requirement: a 2:1 honours degree. The project is competition funded. The closing date shown on the page is 28 Feb 2027.

If you are interested in a PhD combining electrical engineering, data science, and reliability-focused asset management, this is a strong fit.

Funding details

Competition funded.

What's required

Applicants should have a 2:1 honours degree. The project is a Doctor of Philosophy (PhD) opportunity in the Faculty of Engineering and Physical Sciences. The research involves machine learning, data analysis, laboratory experiments, and work in high-voltage testing facilities, so strong analytical and research skills would be beneficial.

How to apply

Review the project details and full entry requirements on the University of Southampton page, then apply through the postgraduate research application process linked from the project page. Contact the university if you need clarification before submitting.

More information can be found here

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