Lecturer in Computer Science

4 weeks ago

London, United Kingdom York St John University Full time


Full time permanent

Location: London

Salary £42,674 to £51,443 per annum (including London Allowance)

York St John is an ambitious, modern university at the heart of historic York and there has never been a more exciting time to join us. 

As one of the fastest growing universities in the UK over recent years, 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. 

The School 

MSc Data Science clustered within the London Campus, is an ambitious and growing academic unit. Our burgeoning national and international research profile, excellent teaching and learning, and welcoming and inclusive ethos supports an exceptional student experience (achieving (94%) and (91%) respective student satisfaction in the most recent NSS). Our School offers a number of Postgraduate degrees. 

The role 

We are seeking an enthusiastic Lecturer to contribute to our vibrant Postgraduate offers in MSc Computer Science. The majority of your work will involve teaching in a variety of settings, including small group tutorials/seminars and lectures; assessment; and the provision of pastoral and academic support to students. The successful candidate will also be supported in developing a solid research profile. The main duties and responsibilities include: 

Develop and engage in high quality teaching, learning and assessment at postgraduate level 7 - MSc, 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 programme. 

Undertake module leadership, mentoring, moderation work related to program management and assessment materials. Supervise postgraduate students on their Dissertation module.

Key requirements 

Candidates will have expertise in teaching an area of Data Science at Postgraduate level, as well as an interest in developing postgraduate provision in the future. The successful candidate will be supported in cultivating an outstanding research profile in Data Science. Whilst we focus on areas including AI, Machine Learning, Big Data, Statistical Programming, Big Data and Cloud Computing , other research specialisms are welcome as we are keen to foster new connections. 

It is essential that candidates hold a doctoral level qualification. 

Further Information

We offer a range of family friendly and inclusive policies and facilities to support staff from different 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.

Application process support

Before starting your application please refer to the attached 'candidate guidance document' 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 ChatGPT can assist you with this, but we would prefer 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

Further information about life at YSJ

Read more about our culture, inclusive community, working arrangements and benefits for York St John employees

The latest news, views and stories from our staff and students can be found

We are committed to managing and reducing our environmental impact and to promoting sustainable development wherever we can, read more

Closing Date - Wednesday 08 May 2024 at midnight

Provisional Interview Date - Thursday 30 May 2024

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