Marta Vallejo
6 months ago
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MSCA Postdoctoral Fellowship 2026 in Machine Learning for ALS and Neurodegenerative Disease Heriot-Watt University in United Kingdom
Degree Level
Postdoc
Field of study
Computer Science
Funding
MSCA Postdoctoral Fellowship 2026 host position; funding details are not specified in the post, but the successful applicant is expected to apply for the MSCA PF with the host group.
Deadline
Expired
Country
United Kingdom
University
Heriot-Watt University

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About this position
Heriot-Watt University’s ML-Health group is seeking an exceptional postdoctoral candidate for the MSCA Postdoctoral Fellowship 2026 host position in ALS and AI. The project sits at the intersection of machine learning, artificial intelligence, computer vision, and biomedical engineering, with a strong application to neurodegenerative disease research.
The research focus is machine learning for ALS / Motor Neurone Disease, including work on medical imaging, digital pathology, and biomarkers. The host is Marta Vallejo, Associate Professor in AI/Machine Learning and Head of the ML-Health group at Heriot-Watt University, United Kingdom.
Applicants should have a PhD in ML, AI, Computer Vision, or Biomedical Engineering. The post specifically asks for a strong publication record with multiple first-author papers in good venues, experience in deep learning for medical data, and prior work in neurodegeneration, with ALS preferred. Only candidates meeting these criteria will be considered.
This is a postdoctoral fellowship host position; the post does not specify stipend, tuition, or other financial details. Interested candidates should prepare a CV, publication list, and a short research idea (max 1 page) for the internal selection process.
Internal deadline: 21 May 2026.
Funding details
MSCA Postdoctoral Fellowship 2026 host position; funding details are not specified in the post, but the successful applicant is expected to apply for the MSCA PF with the host group.
What's required
Applicants must hold a PhD in ML, AI, Computer Vision, or Biomedical Engineering. A strong publication record with multiple first-author papers in good venues is required. Candidates should have experience in deep learning for medical data and prior work in neurodegeneration, with ALS preferred. Only candidates meeting these criteria will be considered.
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