Job Purpose

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 the general area of Artificial Intelligence / Machine Learning, which complement existing strengths in the Information, Data and Analysis (IDA) Section and the Information, Dynamics and Interaction (IDI) research group of the School of Computing Science. This includes (but not limited to) topics such as:

*        Machine learning/AI in Human-Computer Interaction

*        Machine Learning in Science and Engineering,

*        Probabilistic Models and Bayesian inference

*        Active Inference

*        Causal Machine Learning/Inference,

*        AI/ML in Dynamic Systems/Control systems

We would also expect candidates to be experienced in modern ML/AI development environments (e.g JAX, numpy, pytorch, tensorflow), and be able to implement and teach modern topics e.g. Deep Learning Models, Active and Reinforcement Learning.

The postholder will develop, lead and sustain research of international standard in Artificial Intelligence / Machine Learning; 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.

Two positions are available.

The position is equivalent to US tenure track Assistant or Associate Professor.

For appointment at Grade 8:

To develop, lead and sustain research and scholarship of international standard and contribute to the delivery of an excellent student experience by delivering, organising and reviewing agreed teaching, assessment and administration processes to enhance learning and teaching in the School of Computing Science.

For appointment at Grade 9:

To make a substantial and positive contribution to the strategic direction of the School/College through leading and contributing to world-changing and internationally-competitive research, high quality teaching at both undergraduate and postgraduate level, securing research funding, and providing academic leadership and management within the School/College. To actively engage in relationships with external stakeholders that advance knowledge exchange, public understanding and outreach.

Main Duties and Responsibilities

Perform the following range of activities:

1. Develop, lead and sustain personal and group research in Machine Learning aligned appropriately with 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: 

9. Demonstrate enhanced leadership, academic responsibility and strategic management, particularly through internationally leading research, outputs and funding.

For appointment at Grade 9:

10. 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 at Reader:

11. Excel significantly in generation of research, outputs, funding, supervision, and knowledge exchange/impact.

Knowledge, Qualifications, Skills and Experience 

Knowledge/Qualifications

Essential:

A1 Relevant PhD or equivalent experience within Artificial Intelligence / Machine Learning.

A2 Significant breadth/depth of knowledge in AI & Machine Learning, which complement the existing strengths of the Information, Data and Analysis (IDA) Section and the Information, Dynamics and Interaction (IDI) research group.

A3 A growing international reputation, evidenced by esteem indicators, in an area that matches or enhances existing activities in Artificial Intelligence and/or Machine Learning-related research within the School.

For appointment at Grade 9/Reader:

A4 An extensive and established reputation in research and/or teaching within Computing Science as evidenced by esteem indicators.

Skills

Essential:

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.

Experience

Essential: 

E1 Sufficient depth of relevant research experience normally including postdoctoral experience or equivalent appropriate to an early-career researcher.

E2 Evidence of a track record of presentations and publications in Artificial Intelligence and/or Machine Learning.

E3 Experience in undertaking independent research and contributing to successful funding applications.

E4 Evidence of using modern machine learning/data science environments (e.g JAX, numpy, pytorch, tensorflow), to build novel, significant systems/models/processing pipelines.

E5 Track record of development and delivery of teaching at undergraduate or postgraduate level.

For appointment at Grade 8:

E5 Strong track record of undertaking research, publishing in high impact journals at national and international level, and in attracting external research funding.

E6 Excellent track record of contribution to academic and administration activities in a research-led institution.

For appointment at Grade 9/Reader:

E7 Evidence the above criteria to a higher degree, particularly in generation of research, outputs, funding, supervision, and knowledge exchange/impact.

Terms and Conditions

Salary will be Grade 7/8/9, £40,247 - £45,163  /  £49,250  -  £56,921 / £58,596 - £65,814 per annum.

This post is full time (35 hours per week) and is open ended.

Vacancy reference number: 163553

Closing date: 17 February 2025 at 23:45.