Lecturer in Artificial Intelligence
Permanent faculty position in cutting-edge AI research, teaching, and PhD supervision at a top-ranked UK institution.
Best for:Best for established AI researchers with expertise in perception-action systems, a proven teaching record, and a passion for interdisciplinary collaboration in robotics, health, or environmental applications.
Overview
The University of Edinburgh’s School of Informatics seeks a Lecturer in Artificial Intelligence to advance research in perception-action AI systems, with applications in robotics, health, and environmental domains. The role combines original research, undergraduate and master’s-level teaching, and PhD supervision. Candidates must demonstrate a strong research track record, enthusiasm for interdisciplinary collaboration, and the ability to mentor students. The successful applicant will join a dynamic environment with access to world-class AI infrastructure, including the Generative AI Lab and the UK’s next national supercomputer. This is a permanent, full-time position with opportunities to recruit funded PhD students and engage in high-impact research.
What you'll do
- Conduct original research in cutting-edge AI methods, particularly in perception-action systems with applications in robotics, health, or environmental domains.
- Develop and teach undergraduate and master’s-level courses in AI-related topics, aligning with the School’s curriculum.
- Supervise PhD, master’s, and undergraduate student projects, fostering academic growth and research collaboration.
- Recruit and mentor funded PhD students through the School’s doctoral training programmes.
- Collaborate with interdisciplinary teams across computer science, mathematics, and applied sciences.
- Engage in national and international research funding applications, leveraging the School’s professional support services.
- Contribute to commercial engagement and entrepreneurial initiatives within the University.
- Participate in the University’s Generative AI Lab and other collaborative research initiatives.
Requirements
Degree required: PhD in Computer Science, Artificial Intelligence, or a closely related field (or near completion).
Language: English; proficiency suitable for academic teaching and research supervision.
Instruction: English
Publications: Strong research track record with publications in top-tier AI venues.
- Proven research track record in AI, particularly in perception-action systems or related subfields.
- Experience teaching undergraduate and master’s-level courses in AI or related disciplines.
- Ability to supervise and mentor students at multiple academic levels (PhD, MSc, UG).
- Strong publication record in top-tier AI venues or conferences.
- Experience securing external research funding or collaborating on interdisciplinary projects.
- No explicit nationality or residency restrictions mentioned.
- Open to candidates close to completing their PhD.
Funding & terms
How to apply
Deadline: 2026-10-20
Applicants should submit their CV, a cover letter outlining their research and teaching philosophy, and a list of publications through the University’s external application portal. Additional documents may include teaching statements, student supervision plans, and references.
- CV
- Cover letter detailing research and teaching philosophy
- List of publications
- Teaching statement (if applicable)
- Student supervision plans (if applicable)
- Reference letters
Create a free profile to unlock your personal match score, the full requirements, funding details and how to apply — in English or Persian.