Priority areas

It is the School’s standard practice to invite selected candidates to visit the School to provide a lecture and meet academic staff. You are therefore strongly encouraged to discuss your application with the relevant contact at the earliest opportunity.

  • Artificial intelligence for HCI
  • Healthcare technologies
  • Media and data science
  • Open call

Note: all posts close at midnight (BST) on the dates advertised.

Artificial Intelligence for Human-Computer Interaction

The research activities of the Glasgow Interactive Systems Team (GIST) include the investigation of Artificial Intelligence, in particular when it comes to automatic analysis of human behaviour, as a means to develop new approaches for Human Computer Interaction. In particular, GIST aims at endowing interactive technologies (from mobile phones to social robots, passing through ultrasonic haptic interfaces) with the ability to understand their users, whether this means to model and predict usage patterns or to infer socially and psychologically relevant phenomena such as personality, attitude, social signals, engagement, emotions and mental issues. The ideal candidate combines solid methodological skills with an interest to address real-world problems that involve the interaction between people and technology.

We are looking for an outstanding researcher who can work with the Glasgow Interactive Systems Team (GIST) on approaches that combine Artificial Intelligence and Human-Computer Interaction to develop technologies capable to understand the behaviour of their users.

GIST provides an ideal ground for academic growth. It is the leader of a recently awarded Centre for Doctoral Training that will provide 50 PhD scholarships in the next five years ( In addition, its 7 members have accumulated more than 25,000 Scholar citations and have been or are leading large-scale national and European projects (including the ERC advanced grant “Viajero”, the Network Plus grant “Human Data Interaction”, the FET-Open project “Levitate”, the H2020 project MuMMER, the European Network of Excellence “SSPNet”, the Program Grant “Population”, etc.) for a total of over £20M in the last 10 years.

One position is available.

Relevant Section: 

Vacancy ref: E20399
Candidate brochure:
Closing date:  Friday, 27th September 2019
Interviews (shortlist): Tuesday, 26th November 2019

For informal enquiries please contact:
Professor Alessandro Vinciarelli

Computing technologies for healthcare

The School of Computing Science has researchers undertaking world class research across a broad spectrum of computing technologies for healthcare. These range from building models to help understand the chemistry of life and disease (computational biology and -omics technologies), to the analysis and detection of mental and psychiatric issues (attachment in children, dementia, autism, depression, etc.), passing through the development of computing technologies supporting the activity of doctors and medical personnel (kidney donors matching and analysis of medical documents) and of prosthetic technologies (Brain Computer Interfaces).

With a view to expanding research in this area, applications will be considered in any computing area relevant to healthcare and medicine (broadly defined). Candidates are expected to have an established track record, possibly including interdisciplinary projects and collaborations, in the investigation of methodologies and/or computing technologies aimed at processing and analysis of data relevant to medicine and healthcare. The areas of interest include, but are not limited to, computing approaches for the diagnosis of mental and physical pathologies, healthcare-oriented data analytics, computational biology, medical imaging, IT for healthcare, etc. Candidates are expected to integrate with ongoing activities in the School, as well as develop collaborations within the wider University.

One position is available.

Relevant theme(s):   

Vacancy ref: E20419
Candidate brochure:
Closing date:  Thursday, 5 December 2019
Interviews: Wednesday 8th January 2020 (presentations am, interviews pm)

For informal enquiries please contact:
Dr Simon Rogers

Media and data science

The Information, Data & Analysis Section is one of four major research sections within the School and has 14 academics, and 35 Post-Doctoral Fellows, Research Assistants and Ph.D. students active in this area. Our research is organised in four groups of Information Retrieval, Data Systems, Inference, Dynamics & Interaction, and Computer Vision & Autonomous systems. It is led by Professor Roderick Murray-Smith.

We have existing strengths in machine learning and information retrieval applied in contexts such as Music Information Retrieval, Politics and Social media, Conversational interaction and Information Retrieval.  Our School has recently invested in a Media & Data Science research theme, recruiting experts in information retrieval and computational political/media science. We now aim to further strengthen this theme by recruiting a post-holder that will complement existing strengths, and can develop, lead and sustain research of international standard in Artificial Intelligence/Machine Learning/Data Systems/Information Retrieval; contribute to teaching, assessment, project supervision and curriculum design at undergraduate and postgraduate levels; and participate in School management and organisation.

One position is available.

Relevant theme(s):  

Vacancy ref: E20420
Candidate brochure: E20420 Lecturer/Senior Lecturer in Media Data Science
Closing date:  Thursday, 12th December 2019
Interviews (shortlist): Friday, 7th February 2020 (presentations am, interviews pm)

For informal enquiries please contact:
Dr Craig Macdonald

Open call

These posts are equivalent to US tenure track Assistant or Associate Professor.

The School of Computing Science would like to welcome applications in any research area that complements the existing strengths within the School. We particularly encourage applications in Advanced Networking (e.g. 5G networks and services), Cyber Security, FinTech, and Trustworthy Autonomous Systems.

Three positions are available.

Vacancy ref: E20424
Candidate brochure: Open call - recruitment brochure
Closing date:  Wednesday, 8th January 2020
Interviews (shortlist):  Wednesday, 19th February 2020 (presentations); Thursday, 20th February 2020 (interviews)

For informal enquiries please contact:
Professor David Manlove