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Scottish Graduate School of Social Science AQM PhD Studentship: Gene-environment Correlation and Interaction in the Development of Reading Ability and Relation to Life Outcomes

The University of Edinburgh

Qualification Type: PhD, Integrated Masters / Doctorate
Location: Edinburgh
Funding for: UK Students, EU Students
Funding amount: Covers tuition fees plus annual maintenance
Hours: Full Time
Placed On: 10th October 2018
Closes: 7th December 2018

We invite applications for a PhD studentship within Psychology, starting September 2019.

The project

This study will investigate gene-environmental correlation and interaction effects on reading skill using whole-genome data and specific environmental measures. Prediction models of reading impairment risk will then be built. The effect of reading disadvantage in earlier life on later life socio-educational and health outcomes, including the indirect effects of genes and environmental factors will be estimated. And to identify novel genes influencing reading skill, genome-wide results of reading ability in various ESRC datasets will be meta-analysed with existing genome-wide studies of reading. Tests for causal relations between reading ability and life outcomes will also be performed.


This studentship is funded by the Economic and Social Research Council (ESRC) through the Scottish Graduate School of the Social Sciences.

  • The scholarship is available as a +3 (PhD) or a 1+3 (MSc +PhD) programme depending on prior research training. This will be assessed as part of the recruitment process. 
  • Tuition fees at the standard UK/EU rate
  • An annual maintenance grant at the RCUK rate (2018/19 rate was £14,777 full-time)
  • Additional AQM award stipend of £3000 per annum
  • Access to Research Training Support Grant, usually up to a maximum of £750 per year


To be eligible for a full award (stipend and fees), you must satisfy the residency requirements for ESRC Funding:

  • The successful applicant will have a very good undergraduate degree (at least 2:1) in the social (or other relevant) sciences
  • Demonstrate a keen interest in genetics and multivariate statistics
  • Have a good grounding in quantitative research methods and basic statistics

Application Process

Complete the studentship application form available online and submit with the required supporting documentation by Friday 7th December 2018

Further information

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