Associate Professor of Artificial Intelligence

Introduction to YSJ university

York St John is an ambitious, modern university at the heart of historic York and there has never been a more exciting time to join us.

As one of the fastest growing universities in the UK over recent years, we have a new strategy for the next decade, emphasising our commitment to widening opportunity through the power of education and contributing our talents to creating a fairer world, and a more prosperous region. We are putting inspirational learning and impactful research at the heart of this strategy, recognising our academic expertise as our greatest asset.

The role

We are seeking an outstanding Associate Professor of Artificial Intelligence to join our team and play a pivotal role in expanding our Computer Science programmes.

The successful candidate will be an established researcher with a strong record of high-impact publications and a proven ability to secure research funding. You will contribute to undergraduate and postgraduate teaching in AI, Machine Learning, and related fields, supervise PhD students, and mentor early-career researchers, and actively develop interdisciplinary collaborations within the university and with external academic, industry, and community partners.

As an academic leader, you will contribute to programme development and engage in institution wide initiatives that advance AI education and research.

Further Information

For informal enquiries please contact Dr. Shao Ying Zhu via e-mail at s.zhu@yorksj.ac.uk. The selection process will include a 45 minute interview and a 10 minute presentation. Further details will be provided if you are shortlisted for interview.

This role is eligible for Skilled Worker Visa sponsorship subject to UKVI criteria being fulfilled. For further information regarding this visa route please visit Skilled Worker visa: Overview - GOV.UK (www.gov.uk).

We offer a range of family friendly and inclusive policies and facilities and welcome applications from individuals from underrepresented backgrounds. As part of our commitment to providing an inclusive working environment, consideration is given to all requests for job share or flexible working arrangements.

Application process support

We are keen to support you throughout the recruitment process. Before starting your application please refer to the attached candidate application form guidance below which provides advice about completing the application process.

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