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PhD studentship in exploring and expanding statistical methods and their applications

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  • Full or part time
    Dr Morey
  • Application Deadline
    No more applications being accepted
  • Funded PhD Project (Students Worldwide)
    Funded PhD Project (Students Worldwide)

Project Description

How do researchers use and understand statistics, and how can statistical practice be improved? The quality of science depends critically on the quality of the statistical methods in use, their match to the questions that researchers have, and the level of understanding researchers have of these methods. Without good understanding of statistical inference, behavioural and social scientists have difficulty properly interpreting the results of experiments and building models used to understand human behaviour. This goal of this project is to explore and expand statistical methods in use by behavioural and social scientists. There are several possible angles from which this project can be approached, from quantitative psychology and the development of new (particularly Bayesian methods) to the experimental exploration of statistical cognition: how researchers understand and use statistical information.

Funding Notes

Studentships will commence in October 2016 and will cover your tuition fees as well as a maintenance grant (of £14,057 per annum). Additional funding for research costs and academic conference travel is available.
You will also receive a computer and office space. You will become a member of, and have access to courses offered by the University's Graduate College.
The successful candidate will have access to a wide range of state-of-the-art research facilities and resources, including 3T and 7T MRI scanners, EEG/MEG and behavioural testing labs, and high-performance computing cluster.

References

Full awards (fees plus maintenance stipend) are open to UK/EU Nationals and Non-EU nationals.
As only one studentship is available and a very high standard of applications is typically received, the successful applicant is likely to have a very good first degree (a First or Upper Second class BSc Honours or equivalent) and/or be distinguished by having relevant research experience in psychology, biology, neuroscience, mathematics, or engineering/computer science.
Students are expected to have good quantitative skills, including knowledge of a scripting language such as R, MATLAB, or python, high scores in statistics courses, and a demonstrated interest in quantitative questions.

How good is research at Cardiff University in Psychology, Psychiatry and Neuroscience?

FTE Category A staff submitted: 69.33

Research output data provided by the Research Excellence Framework (REF)

Click here to see the results for all UK universities
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