Research Assistant/Associate in Computational Neurology

We are a world class research-intensive university. We deliver teaching and learning of the highest quality. We play a leading role in economic, social and cultural development of the North East of England. Attracting and retaining high-calibre people is fundamental to our continued success.

The Role
This is an exciting opportunity to join the CNNP Lab, School of Computing, Newcastle University as a Research Assistant/Associate to work on the interdisciplinary project "Leveraging universal fractal geometry to develop new AI for neuroimaging".

The project will develop new AI tools for medical imaging in neurological conditions. The key novelty of the AI will be its ability to detect subtle changes to the complex folded brain shape using fractal geometry. Your main role as the postholder will be to drive the development of this new AI tool, engage with a wide network of stakeholders, and explore new avenues for medical applications, such as dementia, epilepsy, autism, mood disorders, etc.

The CNNP Lab is dedicated to research in neuroscience, neurology and psychiatry using computational modelling and machine learning approaches. We strive for the highest quality in research, and we are committed to developing individuals to their best potential in a supportive, inclusive, diverse, and engaging environment. We therefore encourage applications from the widest community and provide equal opportunities in our recruitment processes.

The position is available on a full-time, fixed-term basis, to start in October and is tenable for 18 months.

To apply, please complete an online application and upload a plain text copy of your CV and cover letter only. In your cover letter, you should evidence how you meet or exceed the essential requirements for the role. Please note, any other ‘Additional Document' you upload may not be received by the reviewing panel.

For more information about the project, please contact Dr. Yujiang Wang (yujiang.wang@ncl.ac.uk).

For more information about the CNNP Lab, please click here.

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