Teaching Fellow in Statistics/Data Science

The School of Engineering, Mathematics and Physics is seeking to appoint a Teaching Fellow in Statistics or Data Science. Our Statistics group has a strong reputation for world-leading research, specialising in Data Science, Machine Learning and Statistical Ecology.

We are looking for outstanding teachers who would like to further develop our world-class educational environment. The post holder will be expected to make a strong contribution to teaching and to the operation of the School of Engineering, Mathematics and Physics and will be expected to participate in the delivery of a range of our existing programmes in the area of Data Science and Statistics both at undergraduate and postgraduate level.

Informal enquiries may be made to Director of Studies, Dr Bas Lemmens (B.Lemmens@kent.ac.uk), and the Deputy Head of School, Dr Rowena Paget (R.E.Paget@kent.ac.uk ). Full details about teaching in the School can be found on our website: https://www.kent.ac.uk/school-of-engineering-mathematics-and-physics

What we can offer in return:

As a member of our team, you can expect a friendly, open and collaborative working environment and support in your development and wellbeing. You'll enjoy a range of great staff benefits including:

• 43 days' leave per year (personal leave, bank holidays and additional days allocated for the Christmas period, pro rata for part-time staff)
• Excellent pension scheme with generous employer contributions
• Corporate employee-funded healthcare plan, in partnership with Benenden Health

For more information about what you can look forward to if you join us, visit our dedicated webpage: Working at Kent

We are ambitious for our people, our communities and the region we serve – join us in making the world a better place. Visit our website for more on who we are: http://www.kent.ac.uk/about/

Please see the links below to view the full job description and to apply for this post. For further general information regarding the application process, please contact peopleserviceshr@kent.ac.uk quoting reference number EMP-003-25.

Further details:

*Occasionally we may need to close a vacancy before the published deadline due to a high number of applications being received, therefore we strongly advise you to submit your application as soon as possible. (All vacancies will be open for at least one week.)

PLEASE NOTE: We prioritise applications from current University of Kent redeployees. We will let you know if this post is to be filled by a redeployee as, in this instance, your application will unfortunately not be taken forward.

We know applicants may use AI tools to help prepare job applications. For guidance on how to use AI responsibly and effectively, see: Using AI in your job application

Applications must be made via the University’s online application system; CVs or details sent directly to the department or via email cannot be considered.

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