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Lecturer in Computing - Artificial Intelligence (Ref: 042)

Salary range: 
£37,474 - £43,414 per annum

1.0 FTE – permanent

About the School / Course

The School of Engineering, Arts, Science and Technology prides itself on offering excellent learning and teaching in an environment that supports world-class application focused research in the subject areas relevant to our curricula. The School has enjoyed sustained investment in teaching spaces and specialist facilities. It is housed in the modern James Hehir building (opened in 2010 with £25m investment) and the upgraded West Building (opened in Sept 2016 with £5m investment). A new technology centre (The DigiTech Centre) in partnership with BT plc has opened at Adastral Park (with £9.6m investment including a state of the art Juniper networking sandpit, Cyber Range, AI Compute Server and fully equipped IT suites) and welcomed its first computing students in January 2021.

The School has established a computing degree portfolio around two flagship undergraduate programmes – a BSc (Hons) Computing degree with AI, Cyber Security and Web & Mobile optional pathways, and the BSc (Hons) Digital & Technology Solutions degree apprenticeship with Software Engineer, Network Engineer, and Cyber Security Analyst specialisms and (expected from 23/24) Data Analyst specialisms. At postgraduate level, we offer a MSc Data Science and Artificial Intelligence conversion degree and will be adding two additional masters-level taught degrees from 23/24.

About the post

Consequently, the School is seeking to appoint a permanent Lecturer in Computing (Artificial Intelligence) to undertake teaching and research in computing. It is expected that the successful applicant would initially teach on the MSc Data Science and Artificial Intelligence and deliver AI-focused modules on the undergraduate Computing programme. The successful candidate should expect to be a supervisor for final-year and MSc projects and apprenticeship “synoptic projects”. The appointee is expected to make a significant contribution to the learning, teaching, research and business engagement culture in the School of Engineering Arts Science and Technology. The appointee will be appointed either on the Learning Teaching and Research Pathway or Learning Teaching and Knowledge Exchange pathway, and may move between career pathways without prejudice. A lecturer on the Learning Teaching and Research Pathway will be expected to hold “significant responsibility for research” and be credible for submission to the next REF in due course; ideally, they should be able to find some alignment in their research with the themes encompassed by the Digital Futures Institute and/or other research institutes at the University of Suffolk (https://www.uos.ac.uk/content/research-institutes). A lecturer on the Learning Teaching and Knowledge Exchange pathway will be expected to make a contribution to business engagement activities and may deliver CPD/lifelong learning training.

About the post holder

Applications are sought from PhD qualified and/or industrially experienced candidates with excellent teaching skills, a track record in computing research, technology development or consultancy (in academia or industry) and the ability to attract funding to assist in the further development of the subject area.

For informal enquiries, please contact Sean Preston, Head of Technology, via email sean.preston@uos.ac.uk.

Closing date: Wednesday 19th October, 5pm

Interview Date: Thursday 27th October 2022

We are a values driven organisation, committed to ensuring we remain a beacon for aspiration and achievement, while providing a great environment to work and study.

We are committed to promoting a diverse and inclusive community - a place where we can all be ourselves and succeed on merit. We offer a range of family friendly, inclusive employment policies, flexible working arrangements, staff engagement forums, campus facilities and services to support staff from different backgrounds. If you share our values and our vision, you will find a home at the University of Suffolk.

How to apply:

  1. Read the Guidance Notes and Privacy Notice
  2. If you think you might need a visa to work in the UK, please check your eligibility here BEFORE you apply for the role.
  3. Fill in the Application Cover Sheet
  4. Fill in the Equal Opportunities Monitoring Form
  5. Attach a curriculum vitae and a covering letter setting out clearly how you meet the essential and desirable criteria for the post

Please return them as Word (.doc) or Rich Text Format (.rtf) attachments by email to jobs@uos.ac.uk including the post title and reference number in the email subject heading.

If you a have a disability and need to use a different method to apply for the role then please contact our recruitment team so we can make the adjustments to the process for you. jobs@uos.ac.uk

After submitting your application, if you have not heard from us before the interview date shown, please assume you have not been shortlisted for interview.

If you would like to request support or ask questions about any of our vacancies, or us as an employer, please contact us via the email above or by telephoning 01473 338351.

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