Summary
The Sussex Centre for Consciousness Science (SCCS) at the University of Sussex is offering an exciting opportunity for a highly-motivated PhD student to explore interdisciplinary research in the nature of consciousness. This studentship supports innovative research proposals with an Informatics focus, incorporating computational modeling and data science methodologies.
Sussex Centre for Consciousness Science Studentship 2026, University of Sussex, UK
Designation
PhD Studentship in Consciousness Science
| Details | Information |
|---|---|
| Award | Tax-free stipend of £21,805 per year, tuition fees waived (UK or International rate) |
| Duration | 3.5 years |
| Research Grant | One-off Research and Training Support Grant of £2,000 |
Research Area
- The nature of consciousness
- Informatics and computational modeling
- Data science methodologies
- Interdisciplinary research combining Informatics, Philosophy, Psychology, and Medical Science
Location
University of Sussex, UK
Eligibility/Qualification
- Open to UK and Overseas applicants
- Must have an upper second-class (2:1) undergraduate honours degree (or equivalent) in a related field
- Applicants must demonstrate a strong research proposal relevant to the expertise of selected supervisors
Job Description
As a PhD student at SCCS, you will:
- Join a diverse and interdisciplinary research team
- Conduct innovative research focusing on consciousness science
- Utilize experimental and computational facilities including EEG, TMS, fMRI, and VR
- Collaborate with leading consciousness researchers nationally and internationally
How to Apply
Interested applicants should apply online for a full-time PhD in Informatics. Applications must include:
- A research proposal
- Curriculum Vitae (CV)
- Degree certificates and transcripts
- Two references (including at least one from an institution studied at within the last 5 years)
- Evidence of English language proficiency (if applicable)
Clearly state that you are applying for the SCCS 2026 studentship and name your preferred supervisor from the Department of Informatics.
Last Date to Apply
31 May 2026, 23:45 GMT
