Research Associate/Fellow (Fixed-Term) (SCI613626)

We are looking for a researcher, whose expertise lies in machine learning or uncertainty quantification, to work with Professor Richard Wilkinson on an EPSRC-funded project entitled “Scaling Cardiac Biomechanics Digital Twins for Personalised Medicine”.  The central aim of the project is to accelerate the development of digital twins of the heart, primarily by decreasing the time taken for parameter estimation in complex models.

We believe that talented and inclusive teams deliver the highest quality research and are seeking applications from high quality candidates who enhance the diversity of our existing team.  The School is committed to creating opportunities for people traditionally under-represented in Mathematical Sciences and strives to maintain an environment where people can be their authentic selves.

You will be able to carry out duties to the highest standard and to evidence how through your experience you will:

•    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/or contribute to the dissemination at national/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 both external and/or internal bodies for funding, contractual or accreditation purposes.

We are looking for a confident, organised researcher who can evidence:

•    PhD or equivalent, in a relevant branch of mathematics, statistics, or machine learning, or a closely related discipline
•    OR near to completion of a PhD
•    Expert knowledge of Bayesian computation and deep learning methods
•    Excellent communication and organisational skills.
•    The ability to work independently and as part of a multidisciplinary and multicultural team.
•    Networking, actively engaging with and valuing other areas and diverse groups.

This full-time post is available from 1 March 2026 [or as soon as possible thereafter] and will be offered on a fixed-term contract until 31 December 2026 . Many of our team have flexible working patterns so we’re open to discuss flexible working arrangements with you. If it sounds like you would be a good fit, we look forward to hearing from you.

If you are interested in this post, please click 'apply now' and submit your application along with a copy of your CV and cover letter.

Informal enquiries may be addressed to Richard Wilkinson, email: r.d.wilkinson@nottingham.ac.uk. Please note that applications sent directly to this email address will not be accepted.

Closing Date: 10 Mar 2026
Category: Research and Teaching (R&T)