University of Exeter 
Exeter, United Kingdom İlan Özeti
The University of Exeter seeks a Postdoctoral Research Associate for a National Grid-funded project focused on developing AI-enabled grid planning automation tools. This full-time position, located in Exeter, United Kingdom, runs for 12 months starting December 14, 2026, with an annual salary of £35,302. Candidates must hold or be nearing completion of a PhD in a relevant field, demonstrating extensive experience applying advanced AI and machine learning, particularly LLMs and agentic AI, to energy systems. Essential skills include strong Python programming capabilities and a solid publication record within power networks research. The role involves communicating research outcomes and preparing external proposals. Applicants are encouraged to review the Job Description for full details and may contact Prof. Zhong Fan or Dr. Shuhang Shen for further information regarding this opportunity at the Russell Group university.
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Proje Açıklaması
- Postdoctoral Research AssociateThis National Grid (NGET) funded full-time post is available from 14/12/2026 for 12 months.The RoleFaculty of Environment, Science and EconomyThe Faculty wishes to recruit a Postdoctoral Research Associate to join a National Grid funded project to develop AI enabled grid planning automation tools.About You
The successful applicant will be able to present information on research progress and outcomes, communicate complex information, orally, in writing and electronically and prepare proposals and applications to external bodies.
Applicants will possess a relevant PhD (or nearing completion) or possess an equivalent qualification/experience in a related field of study and be able to demonstrate sufficient knowledge in the discipline and of research methods and techniques to work within established research programmes.Applicants will be able to demonstrate:Please ensure you read the Job Description and Person Specification for full details of this role.
Further information
Please contact Prof. Zhong Fan or Dr. Shuhang Shen, z.fan@exeter.ac.uk, s.shen@exeter.ac.uk - Sound knowledge of the discipline (power networks) and research methods and techniques to work within established research programmes.
- Extensive experience of applying advanced AI and ML to energy systems, especially LLM, agentic AI.
- Strong publication record and sound programming skills in Python.
- Transform Your Career and Help Shape a Greener, Healthier, and Fairer Future
Join the University of Exeter, a top 200 Russell Group university (QS & THE World University Rankings 2025), excelling in teaching (triple Gold rating, TEF 2023) and leading groundbreaking research in the beautiful southwest of England.
We are committed to understanding different cultures and perspectives, supporting diverse leadership, and striving for social justice. We encourage applications from all groups underrepresented in our community, including racially minoritised individuals and those with disabilities. Our inclusive, merit based recruitment processes seek to embrace a diverse set of experiences to ensure colleagues feel supported equitably. With over 30,000 students and 7,000 staff from 140 countries, we foster a culture where everyone can thrive.
You can read more about our current accreditations and commitment to Equality, Diversity and Inclusion here, including our commitment to the Armed Forces Covenant.
What we can offer you:
How we can help
If you are considering applying and need support to do so, please get in touch with us at hrhelpdesk@exeter.ac.uk. You can request reasonable adjustments within your application or by contacting us. You can also choose to be considered under our Disability Confident Scheme and find out here how this is managed during our recruitment and onboarding process. - Freedom (and the support) to pursue your intellectual interests and to work creatively across disciplines;
- Support teams that understand the University wide teaching goals and partner with our academics accordingly;
- An Innovation, Impact and Business directorate that works closely with our academics providing specialist support for external engagement and development;
- Our Exeter Academic initiative supports high performing academics to achieve their potential and develop their career;
- A multitude of staff benefits including sector leading benefits around maternity, adoption and shared parental leave (up to 26 weeks full pay), paternity leave (up to 6 weeks full pay), and a Fertility Treatment Policy;
- A beautiful campus set in the heart of stunning Devon/Cornwall.
