University College London 
London, United Kingdom Proje Açıklaması
About us
Over the past 30 years, the Department of Imaging Neuroscience, home to the internationally renowned Functional Imaging Laboratory (FIL), has pioneered the development and application of imaging techniques to advance our understanding of the human brain. It continues to play a leading role in progressing and transforming research in many areas of neuroscience. The Department hosts multiple large-scale collaborative grants including the Wellcome-funded Discovery Research Platform for Naturalistic Neuroimaging, and the Max Planck UCL Centre for Computational Psychiatry and Ageing Research.
About the role
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 4January 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 (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.
About you
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.
What we offer
Starting salary offered as Research Fellow/UCL Grade 7 (£47,186 - £55,099 per annum including London Allowance) or Senior Research Fellow/UCL Grade 8 (£57,570 - £67,776 per annum including London Allowance), dependent on skills and experience.
Appointment as Research Fellow is dependent upon having been awarded a PhD; if this is not the case, initial appointment will be as Research Assistant (salary £40,603 - £43,749 per annum) with appointment as Research Fellow being backdated to the date of final submission of the PhD thesis.
As well as the exciting opportunities this role presents, we also offer great benefits; visit Reward and benefits to find out more.
We will consider applications to work on a part-time, flexible, and job share basis wherever possible.
This appointment is subject to UCL Terms and Conditions of Service for Research and Professional Services Staff. Please visit Conditions service research teaching and professional services staff for more information.
Our commitment to Equality, Diversity and Inclusion
As London’s Global University, we know diversity fosters creativity and innovation. We are committed to equality of opportunity, to being fair and inclusive, and to being a place where we all belong.
We particularly encourage applications from candidates underrepresented in UCL’s workforce, including those from Black, Asian and ethnic minority backgrounds, disabled people, and – for Grade 9 and 10 roles – women.
Read more: UCL Equality, Diversity and Inclusion.
Applicants should also familiarise themselves with UCL’s policies on: Prevention of Bullying, Harassment and Sexual Misconduct Policy and Personal Relationships Policy.