Associate Professor of Artificial Intelligence

York St. John University; York; On-site; GBP 59,000 - 71,000; Full time

Job summary

York St. John University seeks an Associate Professor of Artificial Intelligence to enhance its Computer Science programmes. The successful candidate will lead teaching in AI and machine learning, supervise PhD candidates, and develop research funding. This full-time role emphasizes impactful education and research in an inclusive environment committed to widening opportunities.

Benefits

Excellent annual leave entitlement

Pension scheme

Health Cash Plan after six months of service

Employee Assistance Programme

Relocation expenses package

Qualifications

• Established researcher with a track record of high-impact publications.
• Proven ability to secure research funding.
• Experience in AI and machine learning teaching.

Responsibilities

• Contribute to undergraduate and postgraduate teaching in AI and machine learning.
• Supervise PhD students and mentor early-career researchers.
• Engage in interdisciplinary collaborations within and outside the university.

Skills

Research

AI

Machine Learning

Interdisciplinary Collaboration

Teaching

Education

Doctorate in relevant field

Job description

Associate Professor of Artificial Intelligence

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Associate Professor of Artificial Intelligence

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York St. John University provided pay range

This range is provided by York St. John University. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

Full time permanent

Location: York

Salary: £59,139 to £70,579 per annum

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 [e-mail] . 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.

If you require a reasonable adjustment in order to apply for this position please contact [e-mail]. Within the application form there is an opportunity for you to request a reasonable adjustment at the interview stage of the process, however if you wish to discuss this in further detail at any point in the process please do not hesitate to contact us. The following resource may help you adapt the device you are using to apply to suit your needs My Computer My Way (abilitynet.org.uk)

Please note that CVs are not accepted in place of the application form. Within the application process you will be asked to answer a selection of work-related questions. Our aim is to get to know you, and understand your individual skills and experience, and how you would apply these within the role. We are aware that AI can assist you with this, but we would prefer you to share your answers in your own words.

Our Benefits Package

We offer a wide range of employee benefits including -

• Excellent annual leave entitlement, including five discretionary university closure days over the Christmas period
• Disability leave (applies to staff who have disclosed a disability and is also available to staff with disabled dependants)
• Pension scheme
• Health Cash Plan after six months service
• Employee Assistance Programme
• Paid leave for Armed Forces Reservists
• On-campus courses, one-to-one tutorials, and online resources to help you develop your digital skills and work with new software
• Relocation expenses package for certain roles
• Reimbursement of Skilled Worker Visa application fees and Visa loan scheme for additional costs (if applicable to the role)
  
  

Further Information About Life At YSJ

Our attached 'further information' document below provides further information about our culture, achievements and testimonials from our employees.

Read more about our culture, inclusive community, working arrangements and benefits for York St John employees

Read the latest news, views and stories from our staff and students.

Read more about our commitment to managing and reducing our environmental impact and to promoting sustainable development wherever we can.

Closing Date - Sunday 15 June 2025 at midnight

Provisional Interview Date - Wednesday 02 July 2025

Further Details

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Further Information

Candidate application form guidance

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