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Computer Science● OpenFacultyPreview

Assistant or Associate Professor in AI and Machine Learning

Drive innovative research and shape the future curriculum in artificial intelligence and machine learning at the University of Cambridge.

Best for:Best for ambitious machine learning researchers with a strong publication record, an independent vision, and a passion for academic leadership.

University of Cambridge · Cambridge, United Kingdom · R3 · Established researcher
More professors at University of Cambridge
Artificial IntelligenceMachine LearningProbabilistic Machine LearningCausal Machine LearningNeural Architectures
This is a faculty position — not a PhD studentship.Tenure-track
Deadline
Dec 15, 2026
55 days
Funding
Salaried
£63.6k–£67.5k/yr
Start date
2027-09-01
Permanent
Location
Cambridge
United Kingdom

Overview

The Department of Computer Science and Technology at the University of Cambridge is seeking an outstanding academic at the Assistant or Associate Professor level to advance research and teaching in artificial intelligence and machine learning. The successful candidate will develop an independent, high-impact research agenda addressing fundamental ML questions, ranging from post-transformer architectures to probabilistic and causal machine learning. Responsibilities include supervising graduate research at the master's and PhD levels, securing external research funding, and delivering innovative teaching within both undergraduate and graduate programs. The appointee will join a vibrant interdisciplinary research ecosystem and collaborate across multiple university departments.

Artificial IntelligenceMachine LearningFaculty PositionAssistant ProfessorAssociate ProfessorComputer ScienceUniversity of Cambridge

What you'll do

  • Establish and lead an independent research agenda in fundamental artificial intelligence and machine learning.
  • Contribute to undergraduate and graduate teaching, including the MPhil in Advanced Computer Science.
  • Supervise master's and doctoral research students.
  • Secure external research funding to build and sustain a world-class research team.
  • Collaborate across academic disciplines and engage in departmental and university community service.

Requirements

Degree required: PhD in Computer Science or a closely related field

Language: English

Instruction: English

Publications: Strong publication record commensurate with career stage

Required skills
  • Demonstrated research credentials in fundamental machine learning or artificial intelligence
  • Strong publication record in top-tier venues commensurate with career stage
  • Proven ability or clear potential to secure competitive research funding
  • Demonstrated experience in teaching and academic supervision at the university level
Nice to have
Interdisciplinary research experience bridging computer science with mathematics, engineering, physics, or chemistrySpecialist expertise in post-transformer architectures, continuous learning, or causal ML
Eligibility
  • Must be eligible to live and work in the United Kingdom

Funding & terms

Type
Salaried
Amount
£63.6k–£67.5k/yr
Duration
Permanent
Programme
University of Cambridge
University of Cambridge

How to apply

Deadline: 2026-12-15

Prepare all required application documents in PDF format, including a curriculum vitae, research statement, representative research outputs, teaching statement, and cover letter. Submit your application online through the official University of Cambridge recruitment portal by clicking the apply button.

Documents required
  • CV
  • Research statement
  • Representative research outputs
  • Teaching statement
  • Cover letter
↗Apply on site

Contact

Robert Mullins· Professor

aiml-enquiries@cst.cam.ac.uk

RM
Prof.
Robert Mullins
Department of Computer Science and Technology
Lab
Department of Computer Science and Technology
University of Cambridge
United Kingdom
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