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Maeve Duffy

3 months ago

Fully Funded PhD Scholarship in Operational Optimisation of EV Charging Stations for Maximum Energy Efficiency University of Galway in Ireland

Degree Level

PhD

Field of study

Environmental Science

Funding

Available

Deadline

Expired

Country flag

Country

Ireland

University

University of Galway

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Keywords

Environmental Science
Electrical Engineering
Smart Grid Technology
Industrial Engineering
Energy Efficiency
Demand Response
Optimisation
Power Electronic
Distributed Energy

About this position

Applications are invited for a full-time, fully funded PhD scholarship at the University of Galway in Ireland, affiliated with the Power Electronics Research Centre (PERC) in the School of Engineering and the RINN Energy Centre.

This project sits within the Smart Connected Cities and Communities theme and focuses on the operational optimisation of electric vehicle (EV) charging stations for maximum energy efficiency. The research aims to understand how aggregated EVs and charging stations can participate in flexible grid services through intelligent load scheduling, on-site battery storage, and coordinated use of renewable energy sources.

Research tasks include profiling EV charging demand, characterising demand response potential, developing an electrical energy system model for charging stations, and accounting for efficiency and practical limitations across power conversion stages. The project will evaluate public and commercial fleet charging stations, explore services such as demand response and peak shaving, and develop optimisation methods to improve energy efficiency while maintaining or improving economic performance. A small-scale prototype system will also be designed, built, and tested to validate the proposed methods, with results scaled to a national context.

The scholarship is funded by Research Ireland under the RINN Energy Centre and is linked to Horizon Europe-aligned goals around smart, secure, and resilient energy systems, decarbonising cities, and supporting net-zero ambitions. Collaboration is expected with theme PIs at Technological University Dublin and University College Dublin, as well as the wider RINN consortium.

Funding includes a €25,000 per year tax-exempt stipend, EU tuition fees covered for up to four years, and additional support for research activities such as conferences and training. Non-EU applicants may apply for an international fee waiver.

Eligible applicants should have a bachelor's or master's degree in Electrical & Electronic Engineering or a closely related field, with experience in energy systems modelling, renewable energy, batteries, power electronics, techno-economic analysis, demonstrator development, and technical writing. Strong analytical, communication, organisational, and interpersonal skills are emphasized.

The application deadline is 24 August 2026 at 17:00 Irish time. Applicants must email a single PDF CV and cover letter to Prof. Maeve Duffy at [email protected], using the specified subject line.

Funding details

Available

What's required

Applicants should have a bachelor's or master's degree with a minimum 2.1 grade or equivalent in Electrical & Electronic Engineering or a closely related discipline. Required/desired experience includes electrical energy systems modelling (including renewable energy sources, batteries, power electronics, and electrical distribution system infrastructure), techno-economic modelling and analysis of renewable energy and battery storage systems, demonstrator or small-scale renewable energy system design and testing, and technical report writing. Strong analytical and critical thinking skills, excellent English communication skills (especially report writing and presentation), high attention to detail, strong organisational ability, ability to manage a complex workload and meet deadlines, and excellent interpersonal skills are also expected.

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Professors

Professor

University Name
Country flag

Ireland

Research Interests

Hardware Engineering

Internet Of Things

Power Electronic

Electrical Engineering

High Performance Computing