Lecturer in Applied Statistics

About the vacancy: The School of Computing and Creative Technologies is a rapidly expanding School offering high quality undergraduate and postgraduate programmes which include Mathematics, Data Science, Business Computing and Financial Technology.

We also support a growing and successful body of research in applied statistics and data science. The School has about 130 academic staff and over 2,500 undergraduate and postgraduate students.

About you: Candidates will have either have a PhD in Statistics or a closely related discipline, or else equivalent professional experience.

Expertise in statistical modelling, applications, programming (R, Python), quantitative research methods and data analytics is essential.  The successful candidate will be expected to apply their knowledge within a data science setting, for example machine learning, and be able to adapt their teaching style to provide a supportive and inclusive learning experience for our students.

You will be capable of high-quality research in a field of applied statistics leading to journal and conference publications. Awareness of research funding opportunities and a successful track record of research collaboration is essential.

Where is this role based?

This post is based at our lively Frenchay campus.

Why UWE Bristol?

We are one of the largest providers of Higher Education in the South West with 38,000 students and 4,000 staff from right across the globe. Based in Bristol, one of the UK’s most exciting and forward-thinking cities, we are regionally embedded and globally connected, with an established network of employer and academic partners.

We offer a wide range of employee benefits including progressive pay rates, generous annual leave and career average pension schemes as well as retail savings, onsite nursery and opportunities for training and personal development

Add your individuality to ours

UWE Bristol recognises the power of a truly diverse university community.

We particularly encourage applications from global majority and female candidates as we are currently under-represented in this area of the organisation, however all appointments are made strictly on individual merit.

As a Disability Confident employer, we welcome applications from those who identify as having a disability.

Further information

If you would like to speak to us to find out more about this role, please contact Emily Walsh (emily3.walsh@uwe.ac.uk) or Rachel Long (rachel.long@uwe.ac.uk).

Interviews are scheduled to take place on teams, following a longlisting and shortlisting process. Longlisting is expected to be completed within two weeks of the closing date depending on application volumes.  

This is a permanent post and is full time.

This post is available on a job share basis for applicants wishing to work part time. 

Right to Work in the UK

The University has a legal responsibility to ensure that all employees are eligible to live and work in the UK. You will therefore be required to provide evidence of your right to work in the UK, please refer to the Home Office Right to Work Checklist for information on which documents are acceptable.

We may be able to sponsor qualifying candidates for this role under the Home Office Skilled Worker visa route. Please read our Skilled Worker Guidance to assess if you will be eligible.

Please note that UWE Bristol does not cover any visa or health surcharge costs.

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