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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:
You should either have a PhD in Statistics, a closely related discipline or, alternatively, 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 where we have invested in the latest facilities and resources to give both our staff and students access to everything they need to succeed.
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.
We are proud to be part of a vibrant, multicultural city that celebrates diversity. 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.
This is a permanent, full time post. 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.
Advice to Applicants
We’d love to hear from you - if you are excited about joining us at UWE please complete our application form as soon as possible.
Tell us about how your skills and experience relate to the requirements of this role by describing how you meet each of the essential and desirable criteria listed in the Person Specification section of the Job Description, and include specific examples wherever possible.
Once we have completed shortlisting we will let you know the outcome of your application by email, so please check your inbox for updates.
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