Post-Doctoral Research Fellow Statistical Modelling

Updated: about 2 months ago
Location: Cambridge, ENGLAND
Job Type: PartTime
Deadline: 13 May 2021

About ARU: 

ARU is a vibrant workplace and our University is gaining prominence both nationally and internationally. We have ambitious plans for the future and we are determined that our students and staff will realise their full potential. Our main campuses in the cities of Cambridge, Chelmsford and Peterborough have been transformed with major capital investment. With an annual turnover of over £200m, we are a major force for higher education and one of the largest universities in the East of England.

About the Role: 

You’ll be joining the Vision and Eye Research Institute (VERI) on our Cambridge campus. Our research institute has a world class reputation in key areas including ophthalmic epidemiology, diabetic retinopathy, low vision and anterior eye research. The success of the Institute is based on a multidisciplinary team that brings together clinicians and scientists with different international expertise. The impact from our research was rated as 100% world class and internationally excellent in REF2014.

Working closely with Professor Rupert Bourne (Anglia Ruskin University, Cambridge) and Dr Seth Flaxman (Department of Mathematics and Data Science Institute, Imperial College London), you’ll liaise with epidemiologists and ophthalmologists who are providing data sources on vision impairment. You will undertake the Bayesian statistical approaches to modelling, understanding, and deriving insights from this data. The work will be in close collaboration with the World Health Organization.

With a PhD in a quantitative subject such as statistics, computer science, or a related subject, you will ideally have a background in biostatistics, public health, or global health. A deep understanding of applied Bayesian statistics (e.g. experience with Stan) and experience of dealing with real-world datasets and an understanding of the challenges associated with these datasets, are required.

For informal enquiries contact Professor Rupert Bourne, Director of the Vision and Eye Research Institute at Rupert.Bourne@aru.ac.uk

Find out more about working with us .

We offer an extensive range of benefits including a generous holiday entitlement, occupational pension schemes, training and development opportunities, travel to work scheme and a competitive relocation package. Visit our benefits  page for full details.

We value diversity at ARU and welcome applications from all sections of the community.

Committed to being inclusive and open to discuss flexible working. 

We have a responsibility to ensure that all employees are eligible to live and work in the UK.

Guidance Notes: 

For a list of key requirements, please download the Job Description and Person Specification. To apply for this role please demonstrate how your skills and experience match the criteria in the person specification.


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