Computer Science Lecturer at York St. John University (UK Visa Sponsorship)

York St. John University is currently looking for candidates with a vast knowledge in Computer Science and with adequate teaching experience in the same field to fill the role of Computer Science Lecturer at the University.

At York St John University we pride ourselves on our community and heritage. We have been teaching people from across the world for 180 years. We are passionate about giving our students a teaching and learning environment that is safe, exciting, inclusive and inspirational.

With official ‘Sanctuary’ status, we also see our role as something bigger than an education provider. Our role in the city of York is one we take seriously. Many of our students and staff are activists, engaging directly with our wider community.

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.


  • Computer Science Lecturer


  • £42, 674 to £51,443 per year

Job Schedule

  • Full Time


  • London, UK

About the Role

We are seeking an enthusiastic Lecturer to contribute to our vibrant Postgraduate offers in MSc Computer Science. The majority of your work will involve teaching in a variety of settings, including small group tutorials/seminars and lectures; assessment; and the provision of pastoral and academic support to students. The successful candidate will also be supported in developing a solid research profile.


  • Develop and engage in high quality teaching, learning and assessment at postgraduate level 7 – MSc, including online and blended approaches.
  • Contribute to the development of the subject discipline within the University through engagement in regular curriculum review activity that incorporates current knowledge and practice.
  • Develop a teaching portfolio that reflects best practice and is regularly reviewed and refined through self-reflection, peer- support, student feedback and professional development.
  • Participate in team meetings, peer review, appraisal, and other staff development activities, contributing to the development of academic programme.
  • Undertake module leadership, mentoring, moderation work related to program management and assessment materials. Supervise postgraduate students on their Dissertation module.


Candidates will have expertise in teaching an area of Data Science at Postgraduate level, as well as an interest in developing postgraduate provision in the future.

The successful candidate will be supported in cultivating an outstanding research profile in Data Science.

Whilst we focus on areas including AI, Machine Learning, Big Data, Statistical Programming, Big Data and Cloud Computing, other research specialisms are welcome as we are keen to foster new connections.

It is essential that candidates hold a doctoral level qualification.


  • This role is eligible for Skilled Worker Visa sponsorship.
  • 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

Required Documents

  1. Resume/CV
  2. Cover Letter

How to Apply

Interested and qualified candidates should kindly CLICK HERE to learn more about the job and the application process.


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Application Deadline

May 8, 2024