Understanding Social and Cognitive Processing of Faces (ZhaoMU19PSY)
Our visual system is remarkably good at detecting faces in the environment and extracting rich social and semantic information from a glimpse of faces (e.g., finding your friends in a busy railway station or reading out concealing emotion). Although it seems to be an effortless job in everyday life, how such efficient face analyses is achieved in a fraction of second remains unsettled. This project aims to address what underlies the fundamental functions of our face processing ability. Specifically, the goal is to unravel how facial information is sampled by our eyes, how sampled facial information is stored in our memory, and how the stored facial information is used to decode social and identity information transmitted by faces. This project may involve studies using behavioural psychophysics, brain imaging, and computational modelling. The outcome of the project will help us understand how the meaning of faces is extracted by our visual system and how we may develop new tools to enhance our face processing ability (e.g., for security screening officer or for people suffering from prosopagnosia).
Project Start Date: Oct 2019
Mode of Study: Either full-time or part-time
Acceptable First Degree: Psychology or closely related field
Minimum Entry Requirements: UK 2:1; 60% in Masters in psychological research methods, or equivalent experience, required.
This PhD project is in a School of Psychology competition for funded studentships. These studentships are funded for 3 years and comprise of home/EU tuition fees and an annual stipend of £14,777. Overseas applicants may apply but they are required to fund the difference between home/EU and overseas tuition fees (which for 2018-19 are detailed on the University’s fees pages at https://portal.uea.ac.uk/planningoffice/tuition-fees . Please note tuition fees are subject to an annual increase).
How good is research at University of East Anglia in Psychology, Psychiatry and Neuroscience?
FTE Category A staff submitted: 13.60
Research output data provided by the Research Excellence Framework (REF)
Click here to see the results for all UK universities