Universidade da Madeira
3 days ago
PhD fellowship
4 Funded PhD Fellowships in Digital Health, Rehabilitation, Virtual Reality, and Artificial Intelligence University of Madeira in Portugal
Degree Level
PhD
Field of study
Computer Science
Funding
Fully funded PhD fellowship with a monthly tax-free stipend of €1,359.64. The post highlights a multidisciplinary and international research environment, collaboration with academic and clinical partners, access to cutting-edge technologies, and support for publications and dissemination.
Country
Portugal
University
Universidade da Madeira

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About this position
4 funded PhD research fellowships are available at the LifeTech OpenQoL Centre, University of Madeira (Portugal), in the broad area of Digital Health & Rehabilitation.
The projects sit at the intersection of biofeedback, virtual reality for motor rehabilitation, virtual reality for cognitive rehabilitation, and artificial intelligence for health and rehabilitation. The post mentions work on physiological sensing, real-time feedback, immersive VR solutions, cognitive assessment and training, predictive modelling, multimodal data analysis, and personalised interventions.
This is a fully funded PhD fellowship with a monthly tax-free stipend of €1,359.64. The opportunity is described as multidisciplinary and international, with collaboration opportunities across academic and clinical partners, access to technologies in Digital Health, XR, AI, and Rehabilitation Science, and support for publications and dissemination.
Eligibility: a Master's degree is required. International applicants are encouraged to apply.
How to apply: visit uma.pt/bolsas for applications and further information. The post says these are the last days to apply, but no exact deadline is stated in the text provided.
Funding details
Fully funded PhD fellowship with a monthly tax-free stipend of €1,359.64. The post highlights a multidisciplinary and international research environment, collaboration with academic and clinical partners, access to cutting-edge technologies, and support for publications and dissemination.
What's required
Master's degree required. International applicants are encouraged to apply. Candidates should be highly motivated and interested in digital health, rehabilitation, biofeedback, virtual reality, artificial intelligence, machine learning, and related clinical or technological research.
How to apply
Go to the applications page at uma.pt/bolsas for further information and to apply. Review the fellowship details and submit the application through the university's portal before the closing date if listed there.
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