Location: | York |
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Salary: | £47,874 to £58,596 per annum |
Hours: | Full Time |
Contract Type: | Permanent |
Placed On: | 13th December 2024 |
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Closes: | 3rd January 2025 |
Job Ref: | 072-24-R |
Closing date: Friday 3rd January 2025 at midnight
Interview date: Monday 27th January 2025
Introduction to YSJ University
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 U.K 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 Role
We are seeking an enthusiastic, adaptable and motivated individual to join our developing Computer and Data Science team in the School of Science, Technology & Health. Successful candidates will be able to contribute to developing and delivering teaching related to the data science degree apprenticeship and have expertise in one or more of the following: machine learning, AI, big data analytics and / or cloud computing. You will hold a relevant PhD, be research active and have a developing record of publications. Relevant industry experience would be an advantage.
Additional Information
For informal enquiries please contact Dr Julian Thompson via e-mail at J.Thompson4@yorksj.ac.uk
This role is eligible for Skilled Worker Visa sponsorship. For further information regarding this visa route please visit Skilled Worker visa: Overview - GOV.UK (www.gov.uk).
It is anticipated that the selection process will include an interview and presentation. Further details will be provided if you are shortlisted for interview.
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
We are keen to support you throughout the recruitment process. Before starting your application please refer to the attached candidate guidance which provides advice about completing the application process.
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