Lecturer

Full time, Fixed-term (Two opportunities available)

Location: London

Salary: £44,551 to £53,467 per annum (including London allowance)

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 U.K 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. Located across three floors in East London Docks, the campus is perfectly situated for access to the area’s rich and diverse amenities and part of a vibrant, co-inhabited educational environment.

The School

Computer Science and Data Science at York St John University London is a dynamic and expanding academic unit delivering a growing portfolio of postgraduate programmes. Our MSc Computer Science and MSc Data Science programmes combine academic knowledge with practical application. We are committed to high-quality teaching, inclusivity and industry-informed curricula that support an excellent student experience.

The Role

We are seeking two enthusiastic Lecturers in the Computer Science Department on fixed-term contracts to join our London Campus. You will contribute primarily to our MSc Computer Science and MSc Data Science programmes and support two new AI programmes planned for February 2027, subject to successful validation.

You will deliver high-quality teaching, learning and assessment, contribute to curriculum development and undertake academic responsibilities within a collaborative team.

Your teaching will focus on one or more of the following areas:

• User-Centric / Mobile App Development
• Cyber Security
• Blockchain
• Artificial Intelligence and Machine Learning
• Database Systems and Programming
• Big Data and Cloud Computing
• Agile Software Development
• Internet of Things (IoT)
• Deep Neural Networks

Successful candidates will also contribute to research and/or professional practice, knowledge exchange and the University’s growing research culture. We particularly welcome applicants who bring relevant industry experience and a commitment to supporting diverse student cohorts.

Main Duties and Responsibilities

• Deliver high-quality teaching, learning and assessment at undergraduate and postgraduate levels, including online and blended approaches.
• Contribute to curriculum review and development, incorporating current disciplinary knowledge and professional practice.
• Develop and refine teaching through reflection, peer support, student feedback, scholarly activity and professional development.
• Undertake module leadership and contribute to academic tutoring, mentoring, programme administration and quality assurance.
• Support student project supervision and develop research and supervisory skills through professional development.
• Engage in independent and collaborative research and/or professional practice, producing outputs appropriate to the discipline.
• Contribute to knowledge exchange, public engagement and the development of external funding bids.
• Participate in team activities, professional networks and University events.

Required Skills and Experience

We are looking for applicants with:

• A good, relevant master’s degree in the subject area.
• Successful teaching experience in higher education or at equivalent levels of professional practice.
• Sufficient breadth and depth of subject knowledge to contribute to teaching and research in one or more of the areas listed above.
• The ability to teach postgraduate students and the potential to supervise postgraduate research students.
• Recent, relevant research activity or professional practice, including an emerging record of recognised outputs.
• The ability to use varied teaching approaches and technology to engage students with diverse learning needs.
• Experience of meeting the needs of students from different cultural, social and ethnic backgrounds.
• A commitment to equality, inclusion and collaborative working.
• A willingness to meet or work towards the threshold standards of the JISC Higher Education Teacher profile.

Fellowship of Advance HE, or a willingness and ability to gain fellowship at the appropriate level, is essential. A PhD or doctorate, completed or nearing completion, is desirable.

Experience of generating external funding through bids and collaborative activity is also desirable.

Additional Information

For informal enquiries, please contact Dr Nalinda Somasiri at n.somasiri@yorksj.ac.uk.

It is anticipated that the selection process will include an interview and a microteaching session. Further details will be provided to shortlisted candidates.

This role is eligible for Skilled Worker visa sponsorship, provided the relevant UKVI requirements are met. For more details about the Skilled Worker visa route, please visit the official UK government website: Skilled Worker visa: Overview - GOV.UK