Reader in Artificial Intelligence
Leading academic position in cutting-edge AI research at the University of Edinburgh, focusing on perception, action, and autonomous systems.
Best for:Best for senior researchers with a PhD in AI/ML, a strong publication record, and experience in teaching and supervising students at multiple academic levels.
Overview
The University of Edinburgh’s School of Informatics invites applications for a permanent Reader in Artificial Intelligence. This role is designed for established researchers with a PhD (or near completion) and a proven track record in advancing AI methodologies, particularly in the intersection of perception (e.g., computer vision) and action (e.g., interactive decision-making). The successful candidate will lead original research, teach at undergraduate and master’s levels, and supervise projects across multiple academic levels. The position emphasizes high-impact applications in robotics, healthcare, environmental sustainability, and societal systems, with a focus on topics like continual learning, agentic AI, embodied cognition, and long-duration autonomy.
What you'll do
- Develop and lead original research in cutting-edge AI methods, particularly in perception and action systems.
- Teach undergraduate and master’s-level courses in AI-related subjects.
- Supervise student projects at undergraduate, master’s, and PhD levels.
- Publish research findings in high-impact academic journals and conferences.
- Collaborate with colleagues across the university and broader research community.
- Contribute to departmental and university-wide strategic initiatives in AI.
- Engage in knowledge exchange activities, including industry partnerships and public outreach.
Requirements
Degree required: PhD in Artificial Intelligence, Computer Science, or a closely related field (or near completion).
Language: English; proficiency required for teaching and research.
Instruction: English
Publications: Strong publication record in top-tier AI conferences and journals.
- Proven track record of high-quality research in AI, particularly in perception and action systems.
- Experience in teaching at undergraduate and master’s levels.
- Ability to supervise and mentor students at multiple academic levels.
- Strong publication record in top-tier AI venues.
- Demonstrated ability to secure external research funding.
- Experience in collaborative research environments.
- No formal eligibility restrictions beyond the PhD requirement.
- Open to candidates from all nationalities.
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 publication list via the university’s online application portal. Three references should also be provided. Detailed instructions and the application form are available on the university’s careers website.
- Curriculum Vitae (CV)
- Cover letter detailing research and teaching philosophy
- Publication list
- Three reference letters
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