Lecturer/Reader in Machine Learning (equiv. to Asst/Assoc Prof)

Updated: 4 months ago
Location: Edinburgh, SCOTLAND
Job Type: FullTime
Deadline: 15 Jan 2024

Lecturer: UE08 £45,585 - £54,395pa
Reader: UE09 £57,696 - £64,914pa

Applications are invited for an academic position in machine learning in the School of Informatics at the University of Edinburgh, one of the largest centres in Machine Learning and Artificial Intelligence in Europe. The appointment will be full-time (35h per week) and open-ended (equivalent to a US tenured position). 

The School of Informatics

The School of Informatics was ranked #1 in the UK for research power in Computer Science and Informatics Times Higher Education ranking, based on the 2021 Research Excellence Framework (REF). We are one of the top six institutions in Europe for AI according to the CSRankings website csrankings.org, and the highest-ranked UK institution. The School of Informatics currently hosts several doctoral training programmes related to the field of machine learning through which a successful candidate may recruit PhD students, in addition to places available through the School. The successful candidate will join an environment with both junior and senior faculty members and dedicated professional service staff. The professional service available in the School includes excellent support for national and international research funding applications as well as support for commercial engagement.

Attributes for success: 

UE08 Lecturer:

  • PhD or equivalent (such as extensive industry experience), and experience as an established academic in Machine Learning or a related field. 
  • Candidates who are close to completing their PhD (i.e., thesis submission is imminent), and who otherwise meet the selection criteria, will be considered.
  • Ability to undertake original research, including leading a research group.
  • Ability to attract research funding as an independent researcher.
  • A track record of first author and/or collaborative publications in high quality journals and international conferences.
  • Strong relevant research and teaching skills.
  • Effective written and oral communication skills in a range of contexts (e.g., teaching, research presentations and publications).
  • Ability to contribute to teaching on a range of non-Honours courses as well as in more specialist areas of machine learning.
  • The ability to engage with a range of teaching mediums including online and distance learning.

UE09 Reader: as above* and including



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