We are seeking to appoint 3 Lecturers and 3 Senior Lecturers (each Full Time / 1.0 FTE, Permanent) as part of a new interdisciplinary research team working in the broad field of AI Trust and Security to build on our existing strengths in Digital Trust, Security and Society. These posts form part of a new £4.73m University investment in AI Trust and Security and will be accompanied by 6 Post-doctoral Research Associate posts; 6 funded PhDs and new investment in high performance computing over the next 5 years. The post-holders may be located in any one of the four Schools of the Faculty of Humanities and will form a new cross-cutting research cluster within the Centre for Digital Trust and Society.

We wish to appoint innovative, engaging and dynamic colleagues who will be able to enhance the quality of our teaching and research and help drive the Faculty’s vision to be a research leader in AI Trust and Security. How can society trust AI? How can we ensure the security and robustness to exploitation of AI technologies? What are the barriers to and/or enablers of trust in AI?

At UoM, we see AI security as part of a set of broader issues of trust and trustworthiness, distrust and trust exploitation, and trust-building and resilience, and promote an interdisciplinary approach to these issues. We are looking to appoint people from any discipline who can contribute to this multi-dimensional and collaborative approach to AI Trust and Security. This might relate to:

• researching the competence, reliability, and trustworthiness of AI technologies
• analysing the social responsibility and ethical dimensions of AI and its implementation for social good
• exploring the relational and linear nature of trust relations between AI, humans and organisations
• crafting the legal, regulatory and governance landscape to ensure the integrity of AI
• interrogating the ways in which AI can be manipulated or exploited for malicious reasons, whether for criminal enterprise, such as organised cyber frauds, or to undermine societal principles, values and processes, as we see with mis/dis/mal-information.

All such issues require an understanding of the socio-technical aspects of AI.

Please indicate in your application whether you are applying for a Lectureship or Senior Lectureship post, and which School and discipline you would see as the best fit for your research and teaching profile.

Candidates appointed at Senior Lecturer level will be expected to take on a greater level of responsibility in relation to research and programme-related teaching, service and leadership roles.

What you will get in return:

• Fantastic market leading Pension scheme
• Excellent employee health and wellbeing services including an Employee Assistance Programme
• Exceptional starting annual leave entitlement, plus bank holidays
• Additional paid closure over the Christmas period
• Local and national discounts at a range of major retailers

As an equal opportunities employer we welcome applicants from all sections of the community regardless of age, sex, gender (or gender identity), ethnicity, disability, sexual orientation and transgender status.  All appointments are made on merit.

Our University is positive about flexible working – you can find out more here

Hybrid working arrangements may be considered.

Please note that we are unable to respond to enquiries, accept CVs or applications from Recruitment Agencies

Any recruitment enquiries from recruitment agencies should be directed to People.Recruitment@manchester.ac.uk.

Any CV’s submitted by a recruitment agency will be considered a gift.

Enquiries about the vacancy, shortlisting and interviews:

Name: Chloe Jeffries

Email: chloe.jeffries@manchester.ac.uk

General enquiries:

Email: People.recruitment@manchester.ac.uk

Technical support:

https://jobseekersupport.jobtrain.co.uk/support/home

This vacancy will close for applications at midnight on the closing date.

Please see the link below for the Further Particulars document which contains the person specification criteria.