Priority areas

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.

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


Cyber security

Cyber security

The Glasgow Cyber Defence Group is an international leader in the cyber security of safety critical infrastructures; working with a broad range of academic, industrial and government partners. We have particular expertise in the security of cyber physical systems across the energy, healthcare, military and transport domains. The group hosts a number of cyber ranges/industrial and avionics platforms.

We work within the School of Computing Science and welcome applications from anyone with a range of backgrounds relevant to the engineering of cyber security including but not limited to forensics, formal analysis, human factors, systems engineering, machine learning/data science.

Three positions are available

Relevant theme(s):  Cyber Security

Vacancy ref: 025442
Candidate brochure
http://online.fliphtml5.com/hjth/vvkc/ 
Closing date:  Wednesday, 10th July 2019
Interviews (shortlist):  Wednesday, 2nd October 2019 (presentations); Thursday, 3rd October 2019 (interviews)

For informal enquiries please contact:
Professor Chris Johnson
Email: Christopher.Johnson@glasgow.ac.uk


Computing technologies for healthcare

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.

Two positions are available.

Relevant theme(s):  Healthcare Technologies 

Vacancy ref: 025441
Candidate brochure
: http://online.fliphtml5.com/hjth/wggy/
Closing date:  Wednesday, 10th July 2019
Interviews (shortlist): Wednesday, 11th September (presentations); Thursday, 12th September 2019 (interviews)

For informal enquiries please contact:
Dr Simon Rogers
Email: Simon.Rogers@glasgow.ac.uk


Media and data science

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 search, As part of our plans to expand our research and teaching activities in this area and collaborate more closely with our neighbours at BBC Scotland, the Section aims to recruit three academic posts in the topics of Information Retrieval/Machine Learning/Data Systems that have the potential to expand our existing strengths in media and data science, including but not limited to topics such as:

  • core machine learning technologies (e.g. graph convolutional networks, architectures for multimedia (video or audio) content)
  • conversational interaction and search
  • explainability/interpretability/ethics in machine learning, algorithmic bias, especially applied in a media context
  • data science for communications media
  • information retrieval from digital archives
  • data science for politics and social media
  • social media search & analytics
  • music information retrieval
  • algorithmic content generation
  • personalisation including (context-aware) recommendation systems/interaction
  • large-scale data and/or information retrieval systems
  • user engagement modelling and predictive analytics

Three positions are available.

Relevant theme(s):  Media and Data Science;  IDA-Section

Vacancy ref: 025440
Candidate brochure
: http://online.fliphtml5.com/hjth/tmby/
Closing date:  Wednesday, 10th July 2019
Interviews (shortlist): Thursday, 12th September 2019 (presentations); Friday, 13th September 2019 (interviews)

For informal enquiries please contact:
Dr Craig Macdonald
Email: Craig.Macdonald@glasgow.ac.uk


Artificial Intelligence for Human-Computer Interaction

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 (http://www.social-cdt.org). 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:  GIST-Section

Vacancy ref: E20399
Candidate brochure
http://online.fliphtml5.com/hjth/mcnd/
Closing date:  Friday, 27th September 2019
Interviews (shortlist): Tuesday, 26th November 2019

For informal enquiries please contact:
Professor Alessandro Vinciarelli
Email: Alessandro.Vinciarelli@glasgow.ac.uk