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PhD Fellowship in Psychology/Statistical Analysis of Longitudinal Data

We are delighted to announce that a funded PhD Fellowship (3 years) will be available for students wishing to start a PhD in April 2018 or soon after.

The Fellowship pays academic fees at the Home/EU rate (£4,195 in 2017/18) and a maintenance grant of at least £12,500 per annum. Successful applicants will also have the opportunity to bid for additional funding of approx. £2,000 per annum for any teaching work that they undertake in the Department. The award enables working with Prof. Dieter Wolke on an EU funded HORIZON 2020 Research Programme: Research on Children and Adults born Preterm (RECAP). (

The successful student will be working in collaboration with partners around Europe and beyond to combine data to conduct analysis on the mental health, neuro-cognitive, socio-emotional functioning and economic adult outcomes and their effects on health-related quality of life and participation in society after very preterm birth or maternal depression. The project will determine the variations of neonatal treatment (e.g. medical, parenting) and environmental risk and protective factors (e.g. schooling, bullying, friendship support) in childhood on adult outcomes across cohorts. Further questions are whether the findings allow to predict future outcomes in preterm children born today or what are the factors that help at risk preterm children beat the odds (resiliency)?

Applicants should have either a good Upper Second Class degree plus a Masters Distinction OR a First Class degree in Psychology, quantitative social sciences, epidemiology, statistics or a related field with an interest in development and health. Applications should be made through the Graduate School online form:

Please provide a short document (1-2 pages) detailing why you are a suitable candidate– for example, your qualifications, interests, and relevant experience (including statistical experience).

Closing date: 8 March 2018


Further details about the Department and how to apply can be found at: If you have further questions, email the postgraduate admissions tutor ( ) or the research lead Prof. Dieter Wolke (