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University of Exeter

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Postdoctoral Research Associate in AI-Enabled Power Grid Planning and Energy Systems University of Exeter in United Kingdom

Degree Level

Postdoc

Field of study

Computer Science

Funding

This is a full-time, 12-month fixed-term post funded by National Grid (NGET). The starting salary is from £35,302, depending on knowledge, skills, and experience. The advertisement does not state tuition or student funding because this is an employment position.

Deadline

Nov 16, 2026

Country flag

Country

United Kingdom

University

University of Exeter

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Keywords

Computer Science
Electrical Engineering
Python Programming
Automation
Large Language Models
Renewable Energy Systems
ML

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About this position

The University of Exeter is recruiting a full-time Postdoctoral Research Associate to join a National Grid-funded project developing AI-enabled grid planning automation tools. The role is based in Exeter, United Kingdom, within the Faculty of Environment, Science and Economy.

The project focuses on power networks and energy systems, with particular emphasis on advanced artificial intelligence and machine learning, including large language models (LLMs) and agentic AI. The successful researcher will contribute to research programmes involving automated grid planning, communicate research progress and outcomes, and help prepare proposals and applications to external bodies.

Applicants should hold a relevant PhD, be nearing completion, or have equivalent qualifications or experience in a related discipline. Essential expertise includes power networks, research methods, advanced AI and machine learning applied to energy systems, Python programming, and a strong publication record. The post is suitable for researchers with interests spanning electrical engineering, computer science, smart grids, and energy-system automation.

This is a 12-month fixed-term appointment available from 14 December 2026. The starting salary is from £35,302, depending on knowledge, skills, and experience. Applications close at 23:59 on 16 November 2026. Further information is available from Professor Zhong Fan or Dr Shuhang Shen.

Funding details

This is a full-time, 12-month fixed-term post funded by National Grid (NGET). The starting salary is from £35,302, depending on knowledge, skills, and experience. The advertisement does not state tuition or student funding because this is an employment position.

What's required

Applicants should possess a relevant PhD, be nearing completion of a PhD, or have equivalent qualification or experience in a related field. They must demonstrate sufficient disciplinary knowledge and knowledge of research methods and techniques to work within established research programmes. Required capabilities include sound knowledge of power networks and research methods, extensive experience applying advanced AI and machine learning to energy systems—especially large language models and agentic AI—a strong publication record, and sound Python programming skills. Applicants should also be able to communicate complex research information orally, in writing, and electronically; present research progress and outcomes; and prepare proposals and applications to external bodies.

How to apply

Apply through the University of Exeter careers vacancy page using the Apply button. Review the job description and person specification before submitting the application. For recruitment assistance, contact [email protected]; for other recruitment queries, contact [email protected].

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