Senior Research Fellow/ Research Fellow in Statistical Methods

You will have a PhD in mathematics, statistics or imaging methods and experience with developing Bayesian statistical models or methods. The ability to derive update equations for Variational Bayes model fitting, evidence of independent and creative work in mathematical modelling and strong programming skills are essential. Experience working with imaging data, multivariate statistics and Matlab is desirable.

A well-established track record of impactful publications, and experience of managing staff is essential for appointment as a Senior Research Fellow.

This role meets the eligibility requirements for a skilled worker certificate of sponsorship or a global talent visa under UK Visas and Immigration legislation. Therefore, UCL welcomes applications from international applicants who require a visa.

As London's Global University, we know diversity fosters creativity and innovation, and we want our community to represent the diversity of the world's talent. 12% of Institute staff are actively working on EDI initiatives; visit https://www.ucl.ac.uk/ion/equality-diversity-inclusion for more information about what we're doing. We therefore particularly encourage applications from candidates who are likely to be underrepresented in UCL's workforce; these include people from Black, Asian and ethnic minority backgrounds, disabled people, LGBTQI+ and gender diverse people in all roles, and women in Grade 9 and 10 roles.

We are seeking a highly motivated individual to join Professor Zeidman's team at the Functional Imaging Laboratory (FIL) in the Department of Imaging Neuroscience. You will be based in the Neurovascular Modelling Group, which is part of the wider Methods Group who develop the Statistical Parametric Mapping (SPM) software package. You will also work closely with Professor John Ashburner, who leads the Computational Anatomy team and invented many of the image processing techniques used in neuroimaging research today.

You will create tools for multivariate analysis of neuroimaging data (e.g. anatomical MRI, fMRI, M/EEG, OPMs), make these available to the community via SPM and conduct a mathematical review of existing multivariate analysis techniques.

It is a unique opportunity to gain extensive, hands-on training at the forefront of human neuroimaging, working within a collaborative environment dedicated to gaining new insights into the workings of the brain.

The post is available from 4 January 2027 and is funded by the Wellcome Discovery Research Platform for Naturalistic Neuroimaging to 3 January 2029 in the first instance.

If you need reasonable adjustments or a more accessible format to apply for this job online, or have any queries regarding the application process, please contact the Institute of Neurology HR Team (ion.hradmin@ucl.ac.uk).

For informal enquiries about the role please contact Professor Peter Zeidman (email: peter.zeidman@ucl.ac.uk).

For a full job description please visit UCL's online recruitment portal (https://www.ucl.ac.uk/work-at-ucl/search-ucl-jobs) and search using vacancy reference B02-11524. To apply, please upload a current CV, complete the online application form, and use the supporting statement section or upload a cover letter to outline how you meet the essential and desirable criteria for the role. Please do not upload any additional attachments as these will not be considered by the selection panel.