Job Purpose

You will contribute to the Participatory Harm Auditing Workbenches and Methodologies (PHAWM) project, funded by Responsible AI UK, working with Dr. Mark Wong.  The successful candidate will be expected to contribute to: i) the design of training content and curriculum on participatory auditing of AI using PHAWM’s workbenches and methodologies; ii) communicating PHAWM’s research to non-expert audiences; iii) delivery of training for, and engagement with, external partners/stakeholders; iv) promotion of PHAWM’s training campaign; v) evaluation of training outcomes and potentially formulating other public-facing or academic outputs as well as helping to manage and direct the impact and communication goals of this complex and challenging project.

The PHAWM project (https://phawm.org) seeks to support diverse stakeholders without an AI background, such as practitioners, regulators, civil society, and marginalised communities, to undertake audits of predictive and generative AI, either individually or collectively. To enable stakeholders to carry out an audit, the project will produce workbenches that support them in assessing the potential impact and harms of AI. PHAWM brings together a consortium of 7 academic institutions and 28 partner organisations with the goal of ensuring that AI is ethical and trustworthy. The postholder will work within a highly interdisciplinary team and contribute to developing a series of impactful training and engagement opportunities that enable diverse stakeholders to undertake participatory audits.

More information about PHAWM can be found at https://www.phawm.org.

Please contact Dr. Mark Wong (Mark.Wong@glasgow.ac.uk) for informal enquiries about the position.

Main Duties and Responsibilities

Perform the following activities in conjunction with and under the guidance of the Principal/Co Investigator:

1. Plan and conduct assigned research, training development, and research communication activities individually or jointly in accordance with the project deliverables and project/School/College research strategy.

2. Document research and training curriculum/content including analysis and interpretation of all data, maintaining records and databases, designing training materials, assets and resources, and drafting technical/progress reports and papers as appropriate.

3. Contribute to the development, organisation, and delivery of training in a manner that supports a research-led and/or other cutting-edge approaches to technology communication, research communication, and relevant pedagogy.

4. Apply specialist knowledge to contribute to the design of training (and other required materials or engagement) ensuring the content, delivery methods, and communication of PHAWM’s research meet determined training objectives on participatory AI auditing.

5. Develop and enhance your research profile and reputation and that of The University of Glasgow/School/Project, including contributing to publications, training, and outputs of international quality in high profile/quality refereed publications (where appropriate), enhancing the research impact in terms of economic/societal benefit, and gathering indicators of esteem.

6. Contribute to the presentation of work at international and national conferences, at internal and external events/seminars, colloquia and workshops, and relevant trade/sector magazines, newsletters, blogs, or other media to develop and enhance our research profile internally and externally.

7. Contribute to the identification of potential funding sources and to assist in the development of proposals to secure funding from internal and external bodies to support future research and/or impact acceleration.

8. Collaborate with colleagues and participate in team/ meetings/ seminars/ workshops across the Project/Division/School/College/University and wider community.

9. Contribute to the organisation, supervision, mentoring and training of undergraduate and/or postgraduate students and less experienced members of the project team to ensure their effective development.

10. Perform administrative tasks related to the activities of the Project, Division, and School, including Budgets/Expenditure.

11. Carry out modest teaching activities (e.g. tutoring etc) and associated admin as assigned by the Head of School and in consultation with Principal Investigator/Line Manager.

12. Keep up to date with current knowledge and recent advances in the field/discipline.

13. Engage in continuing professional development activities as appropriate.

14. Undertake any other reasonable duties as required by the Head of School/Principal Investigator/Line Manager.

15. Contribute to the enhancement of the University’s international profile in line with the University Strategy.

Knowledge/Qualifications

Essential:

A1. SCQF Level 10 (Honours degree) in a relevant subject or a cognate discipline (e.g., science/technology communication, education/lifelong learning, research communication, corporate/technology training), or equivalent

A2. Specialist theoretical and practical knowledge of training development, technology/science communication, and/or STEM or adult education, or equivalent.

A3. A comprehensive and up-to-date knowledge of the aforementioned areas or subject specialisms.

Desirable

B1. Professional qualifications in training, science/technology communication, or education or lifelong learning.

B2. An awarded (or recently submitted or near completion) SCQF level 11 (MSc) or SCQF level 12 (PhD) in relevant subject specialisms or equivalent.

B3. A working knowledge of AI, digital technologies, digital/AI literacy, or other technical or STEM specialisms.

Skills

Essential:

C1. Ability to develop, plan, and deliver training, science/technology communication, STEM or other education/lifelong learning, research communication, corporate/technology training, or equivalent.

C2. Ability to create training content or engagement that is engaging and accessible to inspire learning for diverse audiences, especially relating to AI or other digital technology.

C3. Research creativity and cross-discipline collaborative ability as appropriate.

C4. Excellent communication skills (oral and written), including public presentations and ability to communicate complex data/concepts of a technical nature clearly and concisely to non-expert audiences.

C5. Excellent interpersonal skills including team working and a collegiate approach.

C6. Appropriate workload/time/project/budget/people management skills.

C7. Extensive IT and data analysis/interpretation skills as appropriate.

C8. Self-motivation, initiative and independent thought/working.

C9. Problem solving skills including a flexible and pragmatic approach.

Desirable:

D1. Excellent skills in translating and communicating complex concepts and/or research relating to technology, software, and/or AI models or applications to a non-expert audience.

D2. Ability to design appropriate evaluations of the effectiveness and impact of a training programme.

Experience

Essential:

E1. Sufficient relevant research, training, or engagement experience (or equivalent) appropriate to an early career level.

E2. Experience of working with a diverse range of stakeholders, such as practitioners, professionals, members of the public, or marginalised communities.

E3. Experience of delivering, organising, and developing new training programmes/curricular.

E4. Experience of scientific writing and/or science/technology communication, adult or STEM education, lifelong learning, or research communication activities.

E5. Proven ability to deliver quality outputs (e.g. reports, evaluation, and academic or non-academic writing) in a timely and efficient manner.

E6. Demonstrated commitment and experience of equitable and inclusive practices in training and education.

Desirable:

F1. Experience of working in an interdisciplinary team or setting.

F2. Experience of working with learning technologists and/or educators of specialisms relevant to the project.

F3. Evidence of an emerging track record of high-quality research or public-facing outputs in relevant specialisms.

Terms and Conditions

Salary will be Grade 6, £33,951 - £37,694 per annum pro rata.

This post is part-time (17.5 hours per week), and has funding for up to 18 months.

The University of Glasgow has a responsibility to ensure that all employees are eligible to live and work in the UK. 

Please note that for this vacancy, the University of Glasgow is unable to progress applications from candidates who require sponsorship under the Skilled Worker visa category of the UKVI Points Based System. This is due to the role not meeting UKVI (Home Office) requirements.

As a valued member of our team, you can expect:

1 A warm welcoming and engaging organisational culture, where your talents are developed and nurtured, and success is celebrated and shared.

2 An excellent employment package with generous terms and conditions including 41 days of leave for full time staff, pension - pensions handbook https://www.gla.ac.uk/myglasgow/payandpensions/pensions/, benefits and discount packages.

3 A flexible approach to working.

4 A commitment to support your health and wellbeing, including a free 6-month UofG Sport membership for all new staff joining the University  https://www.gla.ac.uk/myglasgow/staff/healthwellbeing/.

We believe that we can only reach our full potential through the talents of all. Equality, diversity and inclusion are at the heart of our values. Applications are particularly welcome from across our communities and in particular people from the Black, Asian and Minority Ethnic (BAME) community, and other protected characteristics who are under-represented within the University. Read more on how the University promotes and embeds all aspects of equality and diversity within our community https://www.gla.ac.uk/myglasgow/humanresources/equalitydiversity/.

We endorse the principles of Athena Swan https://www.gla.ac.uk/myglasgow/humanresources/equalitydiversity/athenaswan/ and hold bronze, silver and gold awards across the University.

We are investing in our organisation, and we will invest in you too. Please visit our website https://www.gla.ac.uk/explore/jobs/ for more information.

Closing date : 6 January 2026 @23:45