University of Exeter 
Exeter, United Kingdom Angebotszusammenfassung
The University of Exeter is recruiting two Graduate Research Assistants for a National Grid-funded project focused on developing AI-enabled grid planning automation tools. This part-time role (0.5FTE) starts on December 14, 2026, for a duration of twelve months. The position offers a pro rata salary starting at £34,630, contingent on knowledge and experience. Candidates must hold a first-degree level qualification or equivalent in a related field, demonstrating strong programming skills in Python and expertise in power networks or advanced AI, including LLMs and agentic AI. Responsibilities include presenting research outcomes and preparing external proposals. Internal applicants are prioritized. The role supports Prof. Zhong Fan and Dr. Shuhang Shen within the Faculty of Environment, Science and Economy, contributing to a greener future while benefiting from the university's inclusive culture and comprehensive staff benefits.
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Projektbeschreibung
- Graduate Research AssistantINTERNAL APPLICANTS ONLYTwo National Grid (NGET) funded part-time posts (0.5FTE) are available from 14/12/2026 for 12 months.
Salary will be from £34,630 (pro rata) on Grade E subject to knowledge, skills and experience.
The RoleFaculty of Environment, Science and Economy
The Faculty wishes to recruit two Graduate Research Associates to support the work of Prof. Zhong Fan and Dr Shuhang Shen. The successful applicants will join a National Grid funded project to develop AI enabled grid planning automation tools.About YouThe 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 be educated to first degree level or possess an equivalent qualification/experience in a related field of study or equivalent experience 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 demonstratePlease ensure you read the Job Description and Person Specification for full details of this role.
Further informationPlease contact Zhong Fan, z.fan@exeter.ac.uk - Sound knowledge of the discipline (power networks) and research methods and techniques to work within established research programmes, OR
- Extensive experience of the application of advanced AI and software engineering, especially LLM and agentic AI
- Strong 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.