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Lecturer in Computer and Data Science

York St John University

Ilford

On-site

GBP 40,000 - 55,000

Full time

Today
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Job summary

A UK-based university is seeking two enthusiastic Lecturers in Computer Science and Data Science to contribute to their teaching and research activities at the London Campus. Candidates should have a strong academic background and be able to deliver high-quality teaching in areas like Mobile App Development and Cyber Security. The role supports professional development and offers opportunities for industry-informed teaching in a dynamic environment. Benefits include excellent annual leave and health plans.

Benefits

Excellent annual leave entitlement
Pension scheme
Health Cash Plan
Paid leave

Qualifications

  • Ability to deliver high-quality teaching at undergraduate and postgraduate levels in relevant subject areas.
  • Emerging record of research activity or professional practice in a relevant area.
  • Personal commitment to equality, diversity, and inclusion.

Responsibilities

  • Develop high-quality teaching and assessment at undergraduate and postgraduate levels.
  • Participate in regular curriculum reviews incorporating current knowledge and practice.
  • Supervise undergraduate and postgraduate students on their dissertation modules.

Skills

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

Education

Good first or master's degree in a relevant discipline
PhD / doctorate (or near completion) in a relevant field
Job description
Overview

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.
  • 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.
Qualifications
  • 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.
Additional Information

York St John University is an ambitious, modern university with a growing London campus. 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.

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 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 is available; please refer to the attached candidate application form guidance. If you require a reasonable adjustment to apply, please contact vacancies@yorksj.ac.uk.

Benefits
  • 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
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