Publisher
source

Meysam Qadrdan

Just added

today

PhD Position in Energy Systems Modelling at Cardiff University Cardiff University in United Kingdom

Degree Level

PhD

Field of study

Computer Science

Funding

The position is fully funded for 3.5 years. Home tuition fees are covered, and the successful candidate will receive a standard UKRI PhD studentship stipend (currently around £21,000 per year, tax-free). There are also opportunities for additional paid income as a part-time research assistant, subject to satisfactory performance.

Country flag

Country

United Kingdom

University

Cardiff University

Social connections

How do I apply for this?

Sign in for free to reveal details, requirements, and source links.

Continue in dashboard

Where to contact

Official Email

Keywords

Computer Science
Environmental Science
Mechanical Engineering
Electrical Engineering
Artificial Intelligence
Energy Policy
Python Programming
Technical Engineering
Data Center Management
Machine learning

About this position

Cardiff University is offering a fully funded PhD position in Energy Systems Modelling, supervised by Professor Meysam Qadrdan. The research focuses on the modelling and analysis of integrated energy systems, including electricity, gas, and hydrogen networks. The project will investigate the impact of emerging low-carbon technologies such as heat pumps and the growing energy demands from data centres on these interconnected systems.

The successful candidate will develop advanced models of integrated energy systems and apply state-of-the-art AI and machine learning techniques, primarily using Python, to analyse system behaviour, identify risks and opportunities, and support decision-making. The research is highly applied, with outputs intended to inform network companies, regulators, and government bodies, shaping future investment and energy strategies.

This PhD sits at the intersection of engineering, data science, and energy policy, providing excellent training and career prospects in academia, industry, consultancy, and government. Applicants should have a first-class undergraduate degree or a strong MSc in electrical engineering, mechanical engineering, integrated engineering, or a closely related discipline. A solid programming background and an interest in data-driven methods are essential. The position is open to UK applicants only due to funding limitations.

The studentship is for 3.5 years, covering home tuition fees and providing a UKRI PhD stipend of approximately £21,000 per year (tax-free). There are also opportunities for additional paid work as a part-time research assistant. Interested candidates are encouraged to contact Prof. Meysam Qadrdan for further information and informal discussion.

Funding details

The position is fully funded for 3.5 years. Home tuition fees are covered, and the successful candidate will receive a standard UKRI PhD studentship stipend (currently around £21,000 per year, tax-free). There are also opportunities for additional paid income as a part-time research assistant, subject to satisfactory performance.

What's required

Applicants must have a first-class undergraduate degree or a strong MSc in electrical engineering, mechanical engineering, integrated engineering, or a closely related discipline. A solid programming background and an interest in data-driven methods are essential. The position is open to UK applicants only due to funding limitations.

How to apply

Contact Prof. Meysam Qadrdan at [email protected] for further information and informal discussion. Prepare your CV and academic transcripts. Ensure you meet the eligibility criteria before applying.

Ask ApplyKite AI

Professors