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- Tasks: Teach and inspire students in Computer and Data Science at undergraduate and postgraduate levels.
- Company: Join York St John University, a rapidly growing institution in London.
- Benefits: Competitive salary, inclusive policies, and opportunities for professional development.
- Why this job: Make a real impact on the next generation of tech innovators in a vibrant environment.
- Qualifications: PhD or near completion in a relevant field and a passion for teaching.
- Other info: Flexible working arrangements and support for diverse backgrounds.
The predicted salary is between 44551 - 53467 £ per year.
Department:
London Campus
Location:
London
Salary:
£44,551 to £53,467 per annum (including London Allowance)
Closing Date:
Thursday 09 October 2025 at midnight
Interview Date:
Tuesday 28 October 2025
Reference:
160-25
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
It is anticipated that the selection process will include an interview and a teaching assessment.
Lecturer in Computer and Data Science employer: York St John University
Contact Detail:
York St John University Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lecturer in Computer and Data Science
✨Tip Number 1
Network like a pro! Reach out to your connections in the education sector, especially those at York St John University. A friendly chat can sometimes lead to opportunities that aren’t even advertised.
✨Tip Number 2
Prepare for the teaching assessment! Brush up on your teaching techniques and be ready to showcase your skills. Think about how you can engage students in areas like AI or Cyber Security – make it interactive!
✨Tip Number 3
Show off your research chops! If you’ve got any publications or projects, bring them to the table. Highlighting your research experience can set you apart from other candidates.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are genuinely interested in joining our vibrant community.
We think you need these skills to ace Lecturer in Computer and Data Science
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Lecturer role. Highlight your relevant experience in Computer Science and Data Science, and show how you align with our commitment to high-quality teaching and inclusivity.
Showcase Your Passion: Let your enthusiasm for teaching and research shine through! Share examples of how you've engaged students or contributed to curriculum development in your previous roles. We love seeing candidates who are genuinely excited about education.
Be Clear and Concise: Keep your application straightforward and to the point. Use clear language and avoid jargon where possible. We appreciate a well-structured application that makes it easy for us to see your qualifications and fit for the role.
Apply Through Our Website: Don’t forget to submit your application through our official website! It’s the best way to ensure we receive all your details correctly and can process your application smoothly. We can’t wait to hear from you!
How to prepare for a job interview at York St John University
✨Know Your Stuff
Make sure you’re well-versed in the specific areas mentioned in the job description, like Cyber Security or AI. Brush up on recent developments and be ready to discuss how your expertise aligns with their curriculum.
✨Show Your Passion for Teaching
Prepare to share examples of your teaching philosophy and methods. Highlight any innovative approaches you've used in the classroom, especially those that engage diverse student cohorts.
✨Research the University
Familiarise yourself with York St John University’s mission and values. Be ready to discuss how you can contribute to their commitment to inclusivity and high-quality education, as well as how your research interests align with their goals.
✨Prepare for the Teaching Assessment
Since a teaching assessment is part of the selection process, think about how you would deliver a lesson on one of the key topics. Practice your delivery and consider how to make it interactive and engaging for students.
