Location: London, United Kingdom
Department: School of Science, Technology & Health
Salary: £43,936 to £52,730 per annum (including London Allowance)
Skilled Worker Visa Sponsorship: Available
Closing Date: Tuesday 13 May 2025 at midnight
Interview Date: Tuesday 03 June 2025
Introduction to York St John University
York St John University (YSJU) is a dynamic, forward-thinking institution with an emphasis on inspiring learning and impactful research. Located at the heart of historic York, the university is among the fastest-growing in the UK, with an ambitious strategy for the next decade aimed at creating a fairer world and a more prosperous region. At YSJ, education is at the heart of their strategy, where academic excellence drives both student success and societal impact. The university is expanding its offerings in London and is actively recruiting top talent to support its growing portfolio of Computer Science and Data Science programs. This includes the BSc Computing for Industry and the Top-Up Degree in Computer Science and Data Science.
As part of this growth, York St John University is now seeking to hire a Lecturer in Data & Computer Science to join their team. This is an exciting opportunity to contribute to the university’s teaching mission and engage in innovative research and development in the fields of computing and data science.
The Role
This position provides an excellent opportunity for an experienced academic or practitioner to join a vibrant and growing team in the School of Science, Technology & Health. The successful candidate will contribute to the delivery of the BSc Computing for Industry program, with a focus on modules in Mobile App Development, Cyber Security, Blockchain, Artificial Intelligence, Machine Learning, and Database Systems and Programming.
Key responsibilities include:
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Teaching Excellence: Deliver engaging, high-quality teaching and assessments at both undergraduate and postgraduate levels. You will employ a variety of teaching methods, including traditional lectures, seminars, online learning, and blended learning approaches, to ensure diverse learning styles are catered to.
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Curriculum Development: Participate in the ongoing review and development of the curriculum, ensuring that the content remains current and aligned with industry standards.
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Research & Scholarly Activity: Engage in research, contributing to the development of your academic field and the university’s research profile. You will also have the opportunity to contribute to external activities such as external examining or representation at national conferences.
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Postgraduate Supervision: Supervise postgraduate students, supporting their academic journey and helping them excel in their chosen areas of study.
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Community Engagement: Contribute to the wider university community by supporting recruitment efforts, attending open days, and representing the university at academic and professional events.
This role offers the opportunity to shape the next generation of data and computer science professionals and make a meaningful contribution to the advancement of your discipline.
Key Responsibilities
The Lecturer in Data & Computer Science will:
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Deliver Innovative Teaching: Teach courses that incorporate cutting-edge technologies and methodologies. Encourage critical thinking and foster an environment where students can experiment and innovate.
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Develop Educational Materials: Design course syllabi, instructional content, and assessment tools that align with modern industry needs.
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Engage in Research: Actively participate in research, either independently or collaboratively, that aligns with the university’s research strategy.
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Provide Mentorship: Offer guidance and mentorship to students, helping them navigate their academic and professional paths.
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Curriculum Review and Enhancement: Ensure that the curriculum stays up-to-date with industry trends and academic advancements. Regularly contribute to curriculum reviews and improvements.
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Collaborate Across Departments: Work closely with colleagues from other departments and participate in interdisciplinary research initiatives.
Required Skills and Experience
To be considered for this role, you should meet the following essential criteria:
Teaching Experience
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A strong background in higher education teaching, or equivalent professional practice in relevant fields such as data science, computer science, or software engineering.
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Demonstrated ability to teach complex technical subjects in ways that are accessible to students from diverse backgrounds.
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Experience with a variety of teaching methods, including lectures, online, and blended learning, to engage students with different learning styles.
Subject Knowledge and Research
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In-depth knowledge of data science and computer science disciplines, including but not limited to mobile app development, cyber security, blockchain, machine learning, artificial intelligence, and database systems.
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An emerging or established track record in research within the field, demonstrated through publications, presentations, or professional practice.
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A commitment to ongoing professional development to stay current with trends and advancements in the field.
Pedagogical Skills
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Expertise in using diverse pedagogical techniques to ensure that all students, regardless of their background, can thrive.
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Strong communication skills to present complex technical information clearly and effectively.
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Ability to supervise postgraduate students and support their research development.
Commitment to Equality and Inclusivity
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A personal commitment to fostering an inclusive and diverse educational environment.
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Experience in working with students from a variety of cultural, social, and ethnic backgrounds.
Additional Information
For informal inquiries, candidates are encouraged to contact Dr. Soonleh Ling at s.ling@yorksj.ac.uk.
This role is eligible for Skilled Worker Visa sponsorship, provided that the candidate meets the UKVI criteria. For more details about the Skilled Worker Visa route, please visit the official GOV.UK website.
Why York St John University?
York St John University is committed to providing an inclusive and supportive environment for all staff. This role comes with numerous benefits to enhance your work-life balance and professional development. These include:
Employee Benefits
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Generous Leave Entitlement: Excellent annual leave, including five discretionary closure days over the Christmas period.
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Health & Wellbeing: A health cash plan, employee assistance program, and disability leave options.
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Pension Scheme: Competitive pension contributions to support your future.
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Professional Development: Access to a range of digital skills courses, workshops, and one-on-one tutorials to help you grow in your role.
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Visa Sponsorship: Reimbursement of Skilled Worker Visa application fees and Visa loan schemes, if applicable.
Family-Friendly Policies
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Family-friendly and inclusive policies to support work-life balance.
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Opportunities for flexible working arrangements and job share.
Community Engagement
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A welcoming and inclusive culture where staff are encouraged to engage with the local community, contribute to university outreach, and participate in environmental sustainability initiatives.
Application Process
Interested candidates should apply via the official York St John University recruitment portal. CVs will not be accepted in place of the application form. During the application process, you will be asked to respond to a selection of work-related questions designed to help us understand your individual skills and how you would apply them to this role.
Apply Here
If you require assistance with the application process, or need reasonable adjustments, please contact vacancies@yorksj.ac.uk.
Key Dates
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Closing Date: Tuesday 13 May 2025 at midnight
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Interview Date: Tuesday 03 June 2025
Final Thoughts
York St John University is an institution that prides itself on its commitment to inclusivity, innovation, and educational excellence. If you’re passionate about shaping the future of data and computer science education, and you’re eager to join a team of dedicated professionals, this role could be your ideal next step. Apply today to be part of a vibrant and growing academic community in London.