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Reader in Artificial Intelligence

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Reader in Artificial Intelligence

The University of Edinburgh logoThe University of Edinburgh
Edinburgh, United Kingdom
Deadline: 20 October 2026
Posted: Sep 22, 2026

NL Highlights

Lead research in cutting-edge Artificial Intelligence methods and models, particularly in perception and action.
Establish and expand principles of AI methods and models in high-impact application domains.
Undertake original research, teach undergraduate and master's courses, and supervise student projects.

Details

Reference

14760

Salary & Funding

£63,606 to £78,469 per annum (Grade 9)

Duration

Permanent

Eligibility

PhD (or be close to completing one)
Strong research track record
Ability to teach undergraduate and master's level courses
Ability to supervise projects for UG, MSc, and PhD

Next Steps

1
A cover letter.
2
A recent CV.
3
A research statement (2-3 pages, excluding references)
4
A teaching statement (1-2 pages, excluding references)

Opportunity Overview

Reader in Artificial Intelligence

The University of Edinburgh

  • College of Science and Engineering - School of Informatics

Location: Edinburgh

Salary: 63,606 to 78,469 per annum (Grade 9)

Hours: Full Time

Contract Type: Permanent

Placed On: 22nd September 2026

Closes: 20th October 2026

Job Ref: 14760

Full-Time: 35 hours per week Open-Ended (permanent)

The opportunity:

We are seeking current and emerging leading researchers in the field. The successful candidate will have a PhD (or be close to completing one), a strong research agenda, and the enthusiasm and ability to undertake original research, teach courses, and supervise student projects.

We seek candidates with research interests in the development of cutting-edge Artificial Intelligence methods and models, particularly in the joint space of perception (e.g., computer vision) and action (e.g., interactive decision-making systems). We are interested in candidates motivated to establish and expand the principles underlying such methods and models in the context of high-impact application domains (e.g., robotics, health, environment, society, etc.).

The candidate's research focus may align with the following, non-exhaustive, list of topics (in no particular order):

  • Continual, open-ended, self-improving AI
  • Agentic AI, world models, and generative models
  • Embodied perception and action
  • Learning from interaction and reinforcement
  • Decision-making under uncertainty
  • Long-duration autonomy

Candidates should have a strong research track record. They should also demonstrate interest and ability to teach undergraduate (UG) and master's (MSc) level courses, and to supervise projects for UG, MSc, and PhD in areas related to their research.

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