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Up to 30% off — ends 2 Aug
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University of Bedfordshire
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Fully Funded PhD Studentship in Multimodal AI for Early Detection of Neurodevelopmental Disorders University of Bedfordshire in United Kingdom
Degree Level
PhD
Field of study
Computer Science
Funding
Full funding availableDeadline
Aug 16, 2026
Country
United Kingdom
University
University of Bedfordshire

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About this position
Fully funded PhD studentship at the University of Bedfordshire in multimodal AI for the early detection of neurodevelopmental disorders. The project sits within the Falcon Foundation Doctoral Programme and connects to Luton AI, the university’s applied AI ecosystem.
The research focuses on developing AI methods that analyse infant movement using video and low-cost sensor data to identify early neurodevelopmental risk. The project will likely involve machine learning, deep learning, computer vision, multimodal data analysis, time-series analysis, and explainable AI, with an emphasis on clinically meaningful and responsible outputs.
Funding is for UK Home students only and includes full tuition fees for three years plus an annual stipend of £21,805 in Year 1, £22,895 in Year 2, and £24,040 in Year 3. The studentship also provides access to specialist research facilities, computing infrastructure, doctoral training, and wider researcher development support.
Applicants should normally hold at least a 2:1 honours degree (or international equivalent) in computer science, AI, data science, biomedical engineering, electronic engineering, or a closely related subject. A relevant master’s degree or equivalent research/professional experience is advantageous. Experience with Python, PyTorch/TensorFlow, image/video/sensor data, quantitative research, and multidisciplinary collaboration would be helpful.
Supervision is by Dr Massoud Khodadadzadeh and Dr Edward Braund at the University of Bedfordshire. The closing date is 16 August 2026, with interviews expected during the week commencing 31 August 2026 and an expected start date of October 2026.
Funding details
Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.
How to apply
Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.
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