Postdoc: AI-Driven Grid Planning Automation

University of Exeter; Exeter; On-site; GBP 32,000 - 39,000; Full time

Job summary

The University of Exeter invites applications for a two-year Postdoctoral Research Associate role funded by National Grid to develop AI-enabled grid planning automation tools. The successful candidate will join a cross-disciplinary team within the Faculty of Environment, Science and Economy.

Applicants should have a PhD (or near completion), strong AI/ML experience in energy systems, a solid publication record, and Python proficiency. Contact details provided for inquiries and submissions.

Qualifications

• PhD (or nearing completion) in a related field and ability to work within established research programmes.
• Sound knowledge of power networks and research methods to work within established research programmes.
• Extensive experience applying AI and ML to energy systems, especially LLM and agentic AI.
• Strong publication record and sound programming skills in Python.

Responsibilities

• Present information on research progress and outcomes, orally and in writing.
• Prepare proposals and applications to external bodies.

Skills

AI/ML in energy

Python programming

Power networks knowledge

Publication track record

Education

PhD (or near completion)

Tools

LLM

Job description

The University of Exeter invites applications for a two-year Postdoctoral Research Associate role funded by National Grid to develop AI-enabled grid planning automation tools. The successful candidate will join a cross-disciplinary team within the Faculty of Environment, Science and Economy.

Applicants should have a PhD (or near completion), strong AI/ML experience in energy systems, a solid publication record, and Python proficiency. Contact details provided for inquiries and submissions.