Lecturer in Computer and Data Science

Full time permanent 

Location: London

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

Introduction to YSJ University

York St John University is an ambitious, modern university with a growing London campus. There has never been a more exciting time to join us. As one of the fastest-growing universities in the UK, 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 two floors in East London Docs, 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. Our vibrant teaching and research portfolio covers Level 6 and Level 7 programmes, including BSc Computing for Industry, MSc Computer Science, and MSc Data Science. We have strong national and international links with industry and a growing research profile. Our commitment to high-quality teaching, inclusivity and industry-informed curricula offers students an exceptional experience.

The Role

We are seeking two enthusiastic Lecturers in Computer Science and Data Science to contribute to our undergraduate and postgraduate programmes at our London Campus. You will be joining a collaborative and forward-looking team to deliver high-quality teaching, learning and assessment, and to support curriculum development aligned with emerging technologies.

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

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

The successful candidates will also be encouraged and supported to develop their research and professional practice, contribute to our growing research culture, and engage in knowledge exchange activities.

Main Duties and Responsibilities:

• Develop and engage in high-quality teaching, learning and assessment at undergraduate and postgraduate levels, 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 programmes.
• Undertake module leadership, mentoring, moderation work related to programme management and assessment materials.
• Supervise undergraduate and postgraduate students on their dissertation modules.

Required Skills and Experience

We are looking for applicants with:

• A good first or master’s degree in a relevant discipline.
• A PhD / doctorate (or near completion) in a relevant field.
• The ability to deliver high-quality teaching at undergraduate and postgraduate level in one or more of the subject areas listed above.
• An emerging record of research activity or professional practice in a relevant area.
• A personal commitment to equality, diversity and inclusion, and to meeting the needs of a diverse student body.

Fellowship of Advance HE (or a willingness and ability to gain it) is also essential. We particularly welcome applicants with industry experience who can bring research-informed teaching and a commitment to supporting diverse student cohorts in a dynamic, collaborative environment.

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 teaching assessment. Further details will be provided if you are shortlisted.

This role is eligible for Skilled Worker visa sponsorship, provided the relevant UKVI requirements are met. At this time, we’re only able to consider sponsorship for candidates who are currently based outside the UK.

For more details about the Skilled Worker visa route, please visit the official UK government website: Skilled Worker visa: Overview - GOV.UK