Lecturer / Senior Lecturer / Reader in Artificial Intelligence for Human-Computer Interaction

University of Glasgow

United Kingdom


The University of Glasgow, established in 1451, is a member of the UK's Russell Group of leading universities. The University is committed to enhancing its position as one of the world's great broad-based research-intensive universities.

Applications for the post are welcome in any research areas that uses artificial intelligence for human-computer interaction that complement the existing strengths within the School. The post-holder will develop, lead and sustain research of international standard in artificial intelligence for human-computer interaction; contribute to teaching, assessment, project supervision and curriculum design at undergraduate and postgraduate levels; and participate in School management and organisation. 

For appointment at Reader you will have an outstanding track record of national and international distinction and leadership in research, including publications, income, and awards, bringing external recognition and distinction to yourself and the University.

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.

Job Purpose
To carry out research and scholarship in artificial intelligence for human-computer interaction, deliver an excellent student experience through teaching and assessment, and contribute to management and administration. At Grade 8 and 9, demonstrate leadership and contribute to academic and strategic management.

Main Duties and Responsibilities

Perform the following range of activities:

1. Develop, lead and sustain personal and group research aligned appropriately to School/College research strategy. 

2. Enhance your research profile, reputation and esteem through:
- Establishing and sustaining a track record of independent and joint publications of international quality in high quality refereed journals, generating research impact in terms of economic/societal benefit;
- Presentation at international and national conferences and at internal/external seminars, colloquia and workshops;
- Identification of potential funding sources and the development of proposals to secure funding from internal/external bodies to support future research;
- Developing and maintaining collaborations with colleagues across the School/College/University and external Academic and Industrial Partners;
- Contribution to team/group meetings/seminars/workshops and activities to enhance the wider knowledge, outputs and culture of the School/College.

3. Contribute to the planning, organisation and delivery of high quality teaching, supervision and assessment activities across under/post-graduate programmes within the Subject/School.

4. Contribute to the on-going development and design of under/post-graduate curricula, to ensure a research-led approach to student learning and assessment in the discipline and/or profession.

5. Manage a variety of academic administrative activities, including timely delivery of effective and constructive feedback on assessment, and provision of pastoral support.

6. Contribute to the management and organisational duties of the School, as assigned by the Head of School.

7. Engage in personal, professional and career development.

8. Contribute to the enhancement of the University’s international profile in line with the University’s Strategic Plan - Inspiring People – Changing the World. http://www.gla.ac.uk/about/strategy/people/ 

For appointment at grade 8: 
Demonstrate enhanced leadership, academic responsibility and strategic management, particularly through internationally leading research, outputs and funding. 

For appointment at grade 9: 
In addition, demonstrate a distinctive contribution to the academic community through a leading role nationally and internationally eg shaping research agendas, advising review panels and funders.
For appointment Reader: Excel significantly in generation of research, outputs, funding, supervision, and knowledge exchange/impact.

Knowledge, Qualifications, Skills and Experience


A1 Relevant PhD or equivalent experience in relevant disciplines 
A2 Significant breadth/depth of knowledge in wider specialist Artificial Intelligence and Human-Computer Interaction 
A3 A growing international reputation, evidenced by esteem indicators, in a field that matches or enhances existing activities within Artificial Intelligence and Human-Computer Interaction related research.

For appointment at grade 9/Reader:
A4 An extensive and established reputation in research and/or teaching within the use of Artificial Intelligence in Human-Computer Interaction as evidenced by esteem indicators


C1 Ability, drive and influence to develop an international research profile
C2 Research creativity and strong cross-discipline collaborative ability as appropriate
C3 Excellent communication skills, with ability to communicate complex data/concepts clearly and concisely
C4 Excellent interpersonal skills and a collegiate approach
C5 Appropriate workload/time/project/budget/people management skills
C6 Extensive IT and data analysis/interpretation skills 
C7 Good team leadership skills including demonstrable supervisory skills
C8 A strong commitment to high quality, research led, student orientated teaching and proven ability to engage students to inspire learning, and to provide pastoral care to students 

For appointment at Grade 8/9/Reader:
C9 Excellent leadership skills, able to develop early career academic colleagues and manage a research team
C10 Excellent influencing and collaboration skills to facilitate shaping the research agenda of the academic community and funders
C11 Exceptional commitment to high quality teaching, enthusing students and inspiring learning 


E1 Sufficient depth of relevant research experience including postdoctoral experience, appropriate to an early career researcher
E2 Evidence of a track record of presentations and publications 
E3 Experience in undertaking independent research and contributing to successful funding applications
E4 Excellent track record of development and delivery of teaching at undergraduate or postgraduate level

For appointment at Grade 8:
E6 Strong track record of undertaking research, publishing in high impact journals at national and international level, and in attracting external research funding
E7 Excellent track record of contribution to academic and administration activities in a research led institution

For appointment at Grade 9/Reader:
E8 Evidence the above criteria to a higher degree, particularly in generation of research, outputs, funding, supervision, and knowledge exchange/impact

Job Features

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.

Standard Terms & Conditions

Salary will be on the Research & Teaching Grade, level 7/8/9, £35,210 - £39,610 / £43,266 - £50,132 / £51,630 - £58,089 per annum.

The post is full time and open ended.
For more information please consult our candidate brochure: http://online.fliphtml5.com/hjth/mcnd/

If appointed at Grade 7/8 you will be enrolled onto the University’s Early Career Development Programme (ECDP). This will provide you as an early career academic staff member to be developed and supported over a specified timeframe to facilitate the advancement of your academic career. 

Information on the programme can be found on our website at: https://www.gla.ac.uk/myglasgow/humanresources/all/pay/ecdp/ 

New entrants to the University will be required to serve a probationary period of 6 months.

The successful applicant will be eligible to join the Universities’ Superannuation Scheme. Further information regarding the scheme is available from the Superannuation Officer, who is also prepared to advise on questions relating to the transfer of Superannuation benefits.

All research and related activities, including grants, donations, clinical trials, contract research, consultancy and commercialisation are required to be managed through the University’s relevant processes (e.g. contractual and financial), in accordance with the University Court’s policies.

As part of your application you should submit a cover letter which should include (i) a one-page research statement outlining your vision for research, together with a link to your Google scholar page, and (ii) a one-page teaching statement outlining what you think matters for teaching. 

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 Section Lead, Professor Alessandro Vinciarelli, at the earliest opportunity. Email Alessandro.Vinciarelli@glasgow.ac.uk or telephone 0141 330 2795.

In your application, please refer to Professorpositions.com


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