The Role
We are seeking One 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 Master’s degree in Data Science is required; a PhD is preferred. 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
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.
For more details about the Skilled Worker visa route, please visit the official UK government website: Skilled Worker visa: Overview - 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.
This vacancy is scheduled to close on the date indicated at the bottom of this advert, but we may close earlier if we receive a high level of applications.
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.
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 be helpful in shaping your responses, but we encourage 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 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.
Closing Date - Friday 12 December 2025 at midnight Provisional Interview Date - Friday 16 January 2026
