Research Fellow

Founded in 1898, we at the University of East London (UEL) are proud to change lives through education. Our goal is to advance industry 5.0 careers-first education and provide a clear path to the jobs and opportunities of the future. We’re committed to driving diversity in the 5.0 talent pipeline, working in partnership to promote talent wherever it is found and creating a balanced, inclusive, and green future.

About Us

COORDINATE-MDD is an international consortium funded by the National Institute of Mental Health (NIMH). Our aim is to quantify neuroanatomical and neurofunctional heterogeneity via the dimensions of novel multivariate coordinate system. Utilising imaging harmonization and AI methods our aim is to delineate patterns of brain alteration in replicable and neurobiologically-based dimensions, and which can predict treatment response at the individual level. Our consortium collaborators are international researchers sharing datasets from multi-ethnic community populations in first episode and recurrent MDD, which are medication-free and with prospective longitudinal treatment outcomes. 

About the Job

We are looking a full time Research Fellow to work on the aspects of clinical harmonization and incorporation of clinical features in the neuroimaging data sets. The Research Fellow will be supervised by Professor Cynthia Fu in collaboration with Professor Christos Davatzikos, University of Pennsylvania, and with the Centre for Affective Disorders, King’s College London. This is an exceptional opportunity to work with a dynamic and enthusiastic group of international researchers at the cutting edge of neuroimaging and AI research.

Responsibilities will include:

• Conducting analysis of neuroimaging and behavioural data from structural MRI, resting state, and related tasks
• Performing data analysis and clinical harmonization
• Liaising with collaborators on data management, multi-modal and AI analyses 
• Conducting literature reviews for publications and research briefings 

About You

The ideal candidate for this position should possess a PhD, or equivalent qualification, in neuroimaging, neuroscience, engineering, computer science, or related disciplines. In terms of knowledge and experience, they should demonstrate proficiency in neuroimaging data analysis tools and have experience working with statistical packages like R or SPSS. With a high standard of written work, they should have a track record of conducting thorough literature reviews. Additionally, the candidate should possess excellent research skills, a keen ability to work within defined deadlines, and recent experience collaborating effectively within a research team environment. 

Benefits Package

Beyond a competitive salary, we offer a comprehensive benefits package:

• 20% pension contribution (4% from you, 16% from us)
• 35 days holiday, plus 3 days over Christmas and bank holidays
• Hybrid working options for most positions
• Shared success bonus of £4,250 per annum
• Subsidised gym membership
• 3 times base salary life assurance
• Cashback healthcare scheme
• Discounts on Apple and Samsung products, holidays, clothing, fitness, lifestyle, dining out, and weekly shopping

Equal Opportunities

UEL is an inclusive equal opportunities employer and are proud of our Equality, Diversity, and Inclusivity achievements, including: zero gender pay gap, members of Stonewall and have won Athena Swan awards. We expect all employees of UEL to accept our EDI policy and will not tolerate discrimination in any form.

So, if you’d like to take your career to the next level with us here at the University of East London and are inspired by our environment and committed to success, we want you to apply today!

A Disclosure and Barring Service (DBS) clearance is required for this role.

Further details:   Job Description & Person Specification     More about our Benefits

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