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Research Associate in Statistics
School of Mathematics, Statistics & Actuarial Science
Location: |
Canterbury |
Salary: |
£36,386 to £40,931
|
Grade: |
Grade 7 |
Post Type: |
Full Time |
Contract Type: |
Fixed Term
- 36 Months
|
Release Date: |
Monday 22 May 2023
|
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 CEMSHR@kent.ac.uk, quoting the job reference number CEMS-220-23.
Please note that we prioritise applications from current University of Kent redeployees. We will let you know if this post is to be filled by a redeployee as, in this instance, your application will unfortunately not be taken forward.
Applications must be made via the University’s online application system; CVs or details sent directly to the department or via email cannot be considered.
The University of Kent values diversity and promotes equality at all levels.