Publisher
source

YZ Zhou

5 months ago

Advanced Control Strategies for Renewable Energy Systems (PhD Studentship) Edinburgh Napier University in United Kingdom

Degree Level

PhD

Field of study

Environmental Science

Funding

Full funding available

Deadline

December 31, 2026
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Country

United Kingdom

University

Edinburgh Napier University

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Where to contact

Official Email

Keywords

Environmental Science
Mechanical Engineering
Electrical Engineering
Energy Storage
Probability Theory
Simulation Training
Energy Engineering
Optimal Control
Stochastic Programming
Microgrid Technology
Wave Energy
Decentralized Systems
Clean Energy

About this position

This PhD project at Edinburgh Napier University focuses on developing advanced control strategies for renewable energy systems, a critical component in achieving the UK's Net Zero targets. The variability and interdependence of renewable sources such as tidal energy present significant challenges for reliable operation, requiring innovative approaches to control and optimisation. The research will centre on decentralised stochastic control methods for microgrids, with tidal and marine energy as key application areas.

The project aims to design control frameworks that explicitly account for uncertainty, thereby improving efficiency, stability, and resilience of renewable energy systems. Students will develop and analyse decentralised control algorithms for coordinating generation, storage, and demand, incorporating stochastic modelling and optimisation techniques. These methods will be tested in simulations of tidal and marine energy microgrids, with opportunities to engage with Scotland’s clean energy initiatives. The approaches may also be extended to other renewable and hybrid microgrid configurations.

Applicants should have a strong academic background in control engineering, electrical engineering, energy systems, mechanical engineering with a control/energy focus, computer science with relevant optimisation or simulation experience, or applied mathematics with an interest in control and energy systems. Essential skills include a willingness to learn new methods, motivation for clean energy research, critical thinking, independent and collaborative research abilities, and strong communication skills. Desirable attributes include prior research experience, programming proficiency (MATLAB, Python), ability to connect theory with practical applications, experience presenting research, and enthusiasm for interdisciplinary collaboration. The studentship covers full UK or international tuition fees and provides a standard living allowance at the RCUK rate (£21,383 per annum, subject to annual increases).

International applicants should note that visa application costs and the NHS health surcharge are not included. The application process requires submission of an application form, CV, two academic references, a two-page research project outline, a one-page motivation statement, and evidence of English proficiency if applicable. The project code 'SCEBE1125' and the advertised title must be used. The studentship is based in the School of Computing, Engineering & the Built Environment, with supervision from Dr YZ Zhou and Prof H Yu.

The start date is October 2026, and the application deadline is 9th January 2026. For informal enquiries, applicants may contact Dr YZ Zhou at [email protected]. Further details and application guidance are available on the university website.

Funding details

Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.

How to apply

Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.

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