Research Associate in Statistics

University of Kent

Canterbury, UK

Application Deadline
£36,386 to £40,931

Location: Canterbury

Salary: £36,386 to £40,931

Grade: Grade 7

Post Type: Full Time

Contract Type: Fixed Term - 36 Months

Closing Date: 23.59 hours BST on Thursday 22 June 2023 (unless otherwise stated)

Reference: CEMS-220-23

The School of Mathematics, Statistics and Actuarial Sciences is seeking to appoint a talented and ambitious Postdoctoral Research Associate in Statistics to join the Statistical Research Group at the University of Kent. You will be conducting research on the 3-year project, funded by the Engineering and Physical Sciences Research Council and entitled From covariance regressions to nonparametric dynamic causal modelling. This innovative project is multidisciplinary, with project partners the Innovision IP Ltd and the Computational Neuroscience Group at the University of Cambridge, focusing on nonparametric neural differential equations with applications in diagnosis of brain injury.

As the appointed Research Associate you will:

  • Undertake autonomous research, according to the direction of the principal investigator, Professor Jian Zhang; producing research papers and software as part of this.
  • Record and write up research in association with research colleagues and investigators; including preparing and submitting manuscripts to journals and conferences.
  • Help, teach and advise postgraduate students and undergraduate students with cognate research projects at the request of the principal investigator.
  • Prepare regular progress reports for presentation to the investigator team.

To be successful as the appointed Research Associate you will need:

A PhD in the relevant subject field.

  • A strong background in statistics/machine learning/computing or functional magnetic resonance (fMRI)- magnetoencephalography (MEG) neuroimaging.
  • Experience in the analysis of large data such as neuroimaging data and strong computational skills in a MATLAB/Python/R/C++ environment.
  • The ability to devise work leading to research publications of high quality and software for academic communities and industry.

If you have any questions regarding this role, please contact, quoting the job reference number CEMS-220-23.

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