Senior Research Fellow - Bayesian Neuroimaging Statistics

UCL; Greater London; On-site; GBP 47,000 - 68,000; Full time

Benefits offered by this job

Visa sponsorship available

London Allowance included

Job summary

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. Based in the Neurovascular Modelling Group, you will develop Bayesian models and derive update equations for Variational Bayes while contributing to SPM tooling.

The post is funded by the Wellcome Discovery Research Platform for Naturalistic Neuroimaging to 3 January 2029.

Qualifications

• PhD in mathematics, statistics or imaging methods.
• Experience with developing Bayesian statistical models or methods.
• Ability to derive update equations for Variational Bayes model fitting.
• Strong programming skills; experience with imaging data and Matlab desirable.

Responsibilities

• Create tools for multivariate analysis of neuroimaging data (MRI, fMRI, M/EEG, OPMs).
• Develop Bayesian statistical models and VB update equations.
• Review and evaluate existing multivariate analysis techniques.
• Make tools available to the community via SPM.
• Lead and manage staff as needed in the Senior Research Fellow track.

Skills

Bayesian modeling

Variational Bayes

Multivariate statistics

Imaging data analysis

Matlab

Education

PhD in mathematics, statistics or imaging methods

Tools

Matlab

SPM

Job description

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. Based in the Neurovascular Modelling Group, you will develop Bayesian models and derive update equations for Variational Bayes while contributing to SPM tooling.

The post is funded by the Wellcome Discovery Research Platform for Naturalistic Neuroimaging to 3 January 2029.