University of Plymouth

Location: Plymouth, United Kingdom

General Description:
The University of Plymouth is offering a fully funded PhD studentship focused on the application of topological data analysis (TDA) to multimodal neuroimaging datasets, including MRI and near-infrared spectroscopy (NIRS), to identify biomarkers of brain change. This interdisciplinary project combines computational neuroscience, data science, and biomedical engineering to advance the understanding of brain structure and function.

The successful candidate will work on developing novel computational methods to analyse complex, high-dimensional neuroimaging data and extract meaningful biomarkers that can inform neurological research and clinical practice. The project involves integration of TDA techniques with advanced statistical and machine learning methods to interpret multimodal datasets, and collaboration with a multidisciplinary research team of neuroscientists, clinicians, and data scientists.

Key responsibilities include designing and implementing computational pipelines, processing and analysing neuroimaging data, validating findings, and contributing to academic publications and presentations. The project also provides opportunities to engage with the broader neuroimaging and data science research community.

Eligibility Criteria:

• A first-class or upper second-class honours degree (or equivalent) in Neuroscience, Biomedical Engineering, Data Science, Mathematics, Computer Science, or a closely related discipline
• A master’s degree in a relevant field is desirable but not essential
• Strong interest in neuroimaging, computational neuroscience, or brain data analysis
• Ability to undertake independent and interdisciplinary research
• Good communication skills, both written and verbal
• International applicants must meet the University’s English language requirements

Required Expertise/Skills:

• Knowledge of neuroimaging modalities, including MRI and/or NIRS
• Experience with data analysis, statistical modelling, or machine learning
• Programming skills (Python, MATLAB, or similar)
• Understanding of topological data analysis or related computational methods (desirable)
• Analytical and problem-solving abilities
• Scientific writing and presentation skills
• Ability to collaborate effectively within multidisciplinary research teams

Salary Details:
Fully funded studentship covering tuition fees and providing a stipend in line with UKRI rates (exact amount not specified)

Application Deadline:
Not specified

Application Link

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