School of Philosophy, Psychology and Language Sciences PhD Scholarships

Information about eligibility and the application process

The School of Philosophy, Psychology and Language Sciences (PPLS) is pleased to offer a number of PhD scholarships for programmes starting in the 2024/25 academic year. The scholarships are available to postgraduate students intending to study for a PhD within PPLS on either a full or part-time basis. The awards are offered on a highly competitive basis and are subject to annual renewal for the duration of your prescribed period (3 years full-time, 6 years part-time).

Applications are welcome from students applying to study in any of our three subject areas: Philosophy, Psychology and Linguistics & English Language (LEL)

Funding

  • These scholarships are funded by the School of PPLS.
  • The award provides full-time tuition fees (UK or overseas level) with an annual stipend for three years. The stipend will be set to the UKRI level for the year of your study. The UKRI level for 2024-25 is currently £19,237 for full-time students, or the pro rata equivalent for part-time students.
  • The University reserves the right, in its sole discretion, to amend or withdraw any of the advertised scholarships, without notice.

Eligibility

  • The successful applicant will have a very good undergraduate degree in a relevant discipline and ideally will have, or will be studying for, a postgraduate masters degree (or equivalent).
  • Existing doctoral researchers (i.e. those in their 1st or 2nd year of doctoral study) are not eligible for this award.

Deadline

Apply to the relevant PhD programme by November 11th 2024. All complete PhD applications received by these deadlines will be considered for the scholarships. There is no additional application form, you will be automatically considered.

Application process

 

We encourage projects in the following areas:

Cognitive Science

Why do people form the often-erroneous beliefs that they do, and how do we correct their misconceptions? The research investigates the intuitive processes that underlie scientific misconceptions and aims to develop interventions to correct these misconceptions. It addresses these issues using a range of methods including behavioural studies with adults and children, data mining and machine learning techniques, surveys of experts, and Bayesian statistical modelling.

Colour categorisation

Investigating how well structured different colour categories are and how this might impact on attentional selection and working memory for shades of colour falling into these less structured regions (i.e. the regions at the transition or boundary between two categories).

Developmental cognitive neuroscience

Investigating neural correlates of social cognitive development in infancy and childhood, with a focus on the impact of early experience on brain and cognitive development.

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