PhD Studentship in Data Visualisation
Join a cohort-based PhD programme at Warwick’s Centre for Interdisciplinary Methodologies to advance data visualisation research.
Best for:Best for candidates with a strong interest in interdisciplinary data visualisation research and a passion for innovative, practice-led methodologies.
Overview
This PhD Studentship in Data Visualisation at the University of Warwick offers an opportunity to conduct world-leading research within the Centre for Interdisciplinary Methodologies (CIM). As part of the EPSRC-funded Diversity in Data Visualisation Centre for Doctoral Training (DIVERSE CDT), the programme is structured around collaborative projects with external organisations or academic units. Applicants will develop their research in interactive digital notebooks, culminating in a digital thesis submission. The programme emphasises interdisciplinary methodology, providing tailored guidance from experienced academics and professional staff. Students will engage in a vibrant research environment, participate in training on data visualisation design, research ethics, and career development, and contribute to seminars, workshops, and lectures.
What you'll do
- Conduct doctoral research in data visualisation, structured through linked projects with external or academic partners.
- Develop and document research in interactive digital notebooks, adhering to best practices in data visualisation.
- Submit a digital thesis for examination, demonstrating in-depth knowledge and originality in the field.
- Participate in a structured programme of research, including a minimum of two component projects and a review of visualisation research.
- Engage in subject-specific and generic training, including data visualisation design, research ethics, and career development.
- Contribute to a vibrant research environment through seminars, workshops, lectures, and work-in-progress forums.
- Potentially participate in ongoing research projects within the Centre for Interdisciplinary Methodologies and gain teaching experience.
Requirements
Degree required: A relevant master’s degree (or equivalent) in a field related to data visualisation, computer science, design, or a related discipline.
Degree offered: PhD
Language: English proficiency (level not specified in source data)
Instruction: English
Publications: Suitability of research for publication in peer-reviewed venues.
- Strong academic background in data visualisation, computer science, or related fields.
- Ability to conduct theoretically grounded and practice-led research.
- Experience with digital tools and methodologies for data visualisation.
- Commitment to interdisciplinary research and collaboration.
- Open to applicants with a relevant master’s degree or equivalent.
- No specific nationality or residency restrictions mentioned.
Funding & terms
How to apply
Deadline: Unknown (likely rolling or until filled) · open until filled
Applicants should follow the application instructions provided on the University of Warwick’s official webpage for the DIVERSE CDT programme. The process typically involves submitting a CV, cover letter, academic transcripts, and a research proposal. Additional documents may be required based on the programme’s guidelines.
- CV
- Cover letter
- Academic transcripts
- Research proposal
- Proof of English proficiency (if applicable)
Contact
Not Specified· DIVERSE CDT Administrator
https://warwick.ac.uk/fac/cross_fac/cim/apply-to-study/phd-programmes/diverse-cdt/
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