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Ashim Chakraborty

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Fully Funded PhD Studentship in Adaptive AI to Reduce Neurodivergent Inequalities Anglia Ruskin University in United Kingdom

Degree Level

PhD

Field of study

Computer Science

Funding

Fully funded Knowledge Exchange PhD studentship supported by UKRI-ESRC through CAM-DTP and delivered in partnership with klip Global.

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Country

United Kingdom

University

Anglia Ruskin University

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Keywords

Computer Science
Psychology
Information Technology
Statistical Analysis
Mixed Methods Research
Digital Health
Medical Science
Adaptive Algorithms
Stakeholder Engagement
Salud Pública
Healthcare Access
ML

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About this position

Call for a fully funded PhD studentship in Adaptive AI to Reduce Neurodivergent Inequalities at Anglia Ruskin University (Cambridge campus), supported by UKRI-ESRC through CAM-DTP and delivered in partnership with klip Global.

The project explores how neuroinclusive AI can improve access to health, care, and employment pathways for neurodivergent adults. This is a strong fit for applicants interested in Artificial Intelligence, Machine Learning, Generative AI, data science, digital health, and research on inequality and inclusion.

Essential skills include quantitative or mixed-methods research experience, data analysis and data-handling skills, familiarity with Generative AI or Machine Learning, and strong critical evaluation, stakeholder engagement, and communication skills.

Desirable experience includes co-production, participatory research, work with neurodivergent communities, Generative AI, Machine Learning, digital health technologies, and stakeholder engagement.

The project will be supervised by Ashim Chakraborty, Prof Silvia Cirstea, and Dr Sridevi Kalidindi CBE. Interested candidates should apply via the FindPhD link or the CAM-DTP application page, and may email [email protected] for enquiries.

Funding details

Fully funded Knowledge Exchange PhD studentship supported by UKRI-ESRC through CAM-DTP and delivered in partnership with klip Global.

What's required

Applicants should have quantitative or mixed-methods research experience, strong data analysis and data-handling skills, familiarity with Generative AI or Machine Learning, and critical evaluation, stakeholder engagement, and communication skills. Desirable experience includes co-production, participatory research, work with neurodivergent communities, Generative AI, Machine Learning, digital health technologies, and stakeholder engagement.

How to apply

Apply via the FindPhD link or the CAM-DTP site. Interested applicants can also email Ashim Chakraborty directly for more information.

More information can be found here

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