Salary
£32,080 to £47,389 per annum, depending on skills and experience (minimum £35,608 with relevant PhD). Salary progression beyond this scale is subject to performance.
Area
Mathematical Sciences
Location
University Park
Closing Date
Monday 06 April 2026
Reference
SCI699726
Project Overview
We are looking for a highly motivated researcher, whose expertise lies in statistics and computational methods, to work with Professors Theodore Kypraios and Philip O’Neill on an NIHR-funded project entitled "Beyond Data-Augmentation: Advancing Bayesian Inference for Stochastic Disease Transmission Models". The aim is to develop next-generation statistical tools for fitting stochastic epidemic models to outbreak data, contributing to cutting-edge methodological research on Bayesian inference for complex stochastic transmission models. This role offers an opportunity to work at the interface of statistics and epidemiology, using modern computational approaches to improve inference for real-world transmission models.
Responsibilities
* Undertake original research of international excellence.
* Develop research objectives and proposals for own and/or collaborative research area.
* Prepare papers for publication in leading journals and contribute to dissemination at national and international conferences, workshops and meetings, resulting in successful research outputs.
* Identify opportunities and assist in writing bids for research grant applications; prepare proposals and applications to external and/or internal bodies for funding, contractual or accreditation purposes.
Qualifications
* A PhD, or equivalent, in statistics, machine learning or a closely related discipline, or near completion of a PhD.
* Expert knowledge of statistical inference methods.
* Excellent communication and organisational skills.
* Ability to work independently and as part of a multidisciplinary and multicultural team.
* Networking skills, actively engaging with and valuing other areas and diverse groups.
Contract
This full-time post is available from 01 May 2026 [or as soon as possible thereafter] and will be offered on a fixed-term contract until 30/04/2029. Many of our team have flexible working patterns so we’re open to discuss flexible working arrangements with you.
Application
If it sounds like you would be a good fit, we look forward to hearing from you. Please apply online. For more information about the School of Mathematical Sciences and active research themes see: http://www.nottingham.ac.uk/mathematics/index.aspx. To find out more about the People and Culture in the School of Mathematical Sciences please visit: https://www.nottingham.ac.uk/mathematics/edi/edi.aspx. Informal enquiries may be addressed to Professor Theodore Kypraios (theodore.kypraios@nottingham.ac.uk); however, please note that applications sent directly to this email address will not be accepted.
Equality, Diversity and Inclusion
Our university is a supportive, inclusive, caring and positive community. We welcome those of different cultures, ethnicities and beliefs; diversity is vital to our success. We are a Disability Confident Employer (Level 2) and have achieved Athena Swan Gold Award. To help you succeed, we published Candidate Guidance to provide support on the application and interview process. Discover our benefits by visiting the Your Benefits website.
International Applicants
We welcome applications from UK, Europe and worldwide and aim to make your move to the UK as smooth as possible. Visit the Moving to Nottingham page for details. Your application will be considered on an equal basis, subject to the relevant permission to work in the UK as set out by UK Visas & Immigration.
#J-18808-Ljbffr