Academic Associate for Computer Science (or related subject)

York St John University is one of the UK's fastest-growing universities and has launched a new strategy focused on widening educational opportunity, impactful research, and contributing to a fairer society and more prosperous region.

Computer and Data Science is part of York Business School. Current undergraduate programmes include Computer Science, Cyber Security, and Data Science, with new AI-related and other pathways planned for 2027. Teaching is informed by active research and professional practice, emphasising inclusive learning, employability, applied experience, and authentic assessment through industry partnerships.

Students benefit from specialist computing laboratories, cybersecurity facilities, collaborative software development environments, and industry-standard technologies. Research strengths include: Cybersecurity, Artificial Intelligence (AI), Machine Learning, Data Analytics, Internet of Things (IoT), Software Engineering, and Games and Games Technologies. The School maintains strong partnerships with industry to support collaborative projects, knowledge exchange, and real-world learning opportunities.

This four-year fixed-term position working 18.5 hours per week combines doctoral research with teaching experience. An appointment to this role will include a tuition fee waiver/scholarship. A condition of the post is full-time study, and any appointment will be conditional upon acceptance to a PhD programme at York St John University.

Academic Associates undertake doctoral research under the supervision of the Computer and Data Science research team while gaining teaching experience. During teaching semesters, timetabled duties will not exceed six contact hours per week across two working days and may include seminars, workshops, and tutorials. Training and development opportunities are provided to support teaching skills and professional growth.

Research areas: Applications are invited from candidates proposing research in or closely related to Artificial Intelligence, Machine Learning, Deep Learning, and Computer Vision. Interdisciplinary projects are strongly encouraged, particularly those demonstrating potential impact through the application of computing technologies to real-world challenges.

Applicants should submit a research proposal of approximately 1,500 words demonstrating knowledge of current developments in their chosen field and readiness to undertake significant research. Prospective candidates are encouraged to discuss their ideas with relevant academic staff before applying.

Requirements:
- A first-class or upper second-class honours degree in a relevant discipline (or an equivalent overseas qualification).
- Applicants should have completed their Masters degree. Applications will also be accepted provided that all Masters assessment work is completed and marks confirmed before commencement of the PhD at York St John University in February 2027.
- A high level of English proficiency sufficient for doctoral research, teaching, administration, and effective communication.

The University is committed to inclusion and will consider flexible working or job-share requests. Appointment is subject to acceptance onto a PhD programme at York St John University.

This role is not eligible for Skilled Worker Visa sponsorship; applicants must be able to evidence right to work in the UK via an alternative route.

The selection process is anticipated to include an interview and presentation. For general or supervision queries, please contact Professor Theocharis Kyriacou at [email protected].