Reader in Artificial Intelligence

The University of Edinburgh; City of Edinburgh; On-site; GBP 45,000 - 65,000; Full time

Job summary

The University of Edinburgh invites applications from current and emerging leading researchers in AI to join our vibrant academic community. The successful candidate will develop an active research program, teach courses at undergraduate and master's levels, and supervise student projects.

We welcome researchers focused on perception and action, including computer vision, interactive decision-making, and autonomous systems, with a strong publication record and a collaborative, interdisciplinary

Qualifications

• PhD or near completion and a strong research agenda.
• Ability to teach undergraduate and MSc courses.
• Ability to supervise UG/MSc/PhD projects in AI-related areas.

Responsibilities

• Conduct original research and publish findings.
• Teach courses at UG and MSc levels.
• Supervise student projects across programs.

Skills

Research leadership

Teaching ability

Student supervision

Interdisciplinary collaboration

Education

PhD (or near completion)

Job description

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.