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University College London (UCL)

(Senior) Research Fellow in Statistical Methods

등록일 : 2026-11-05
마감일
2026.12.03(목) 08:59D-28
기관유형
대학
학력
박사
직군
연구원
국가
영국
전공
통계/수학
근무지
London
근무유형
풀타임
근무형태
Fixed-term, available from 4 January 2027 to 3 January 2029 in the first instance.
근무시간
Full Time
급여액
Research Fellow: £47,186 - £55,099; Senior Research Fellow: £57,570 - £67,776 per annum including London Allowance. Initial Research Assistant salary: £40,603 - £43,749 per annum.
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기관명University College London (UCL)
홈페이지https://www.ucl.ac.uk/
유형대학

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 to 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. 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.

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.

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.

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.

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 https://www.ucl.ac.uk/work-at-ucl/reward-and-benefits to find out more.

This appointment is subject to UCL Terms and Conditions of Service for Research and Professional Services Staff. Please visit https://www.ucl.ac.uk/human-resources/conditions-service-research-teaching-and-professional-services-staff for more information.

Our commitment to Equality, Diversity and InclusionAs 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.

Customer advert reference: B02-11524

접수정보

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채용마감까지 남은 시간
등록일
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2026-11-05
마감일
|
2026-12-03
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