Alejandro Lopez Valdes
Top university
1 week ago
Postdoctoral Researcher in Digital Cognitive Twins for Brain Health Trinity College Dublin in Ireland
Degree Level
Postdoc
Field of study
Computer Science
Funding
24-month full-time postdoctoral research position. Funding/stipend details are not specified in the post.
Country
Ireland
University
Trinity College Dublin

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About this position
Trinity College Dublin is advertising a Postdoctoral Researcher position in the Lopez Valdes Lab focused on the next generation of Digital Cognitive Twins for Brain Health.
The project sits at the intersection of computer science, neuroscience, biomedical engineering, psychology, electrical engineering, public health, and statistics. Research themes include multimodal sensing using wearables, smartphones, and physiological signals; machine learning for cognitive-state modelling; digital twins; personalised health feedback; AI for brain health and behaviour change; and longitudinal human-centred evaluation studies.
The successful candidate will work in a highly interdisciplinary environment spanning the School of Engineering, Trinity College Institute of Neuroscience, Global Brain Health Institute, and the RINN AI Centre. The post is based in Dublin, Ireland and is a 24-month full-time research appointment.
Eligibility highlights: applicants should hold a PhD in Engineering, Computer Science, Neuroscience, Biomedical Engineering, Data Science, Psychology, or a related field, and should be motivated by AI-enabled digital health technologies.
Applications are reviewed on a rolling basis until the position is filled. Interested candidates should read the full job description and follow the application instructions in the posting.
Funding details
24-month full-time postdoctoral research position. Funding/stipend details are not specified in the post.
What's required
Applicants should have a PhD in Engineering, Computer Science, Neuroscience, Biomedical Engineering, Data Science, Psychology, or a related field. The post is aimed at highly motivated candidates with interest in AI-enabled digital health technologies, multimodal sensing, machine learning, digital twins, and human-centred evaluation studies.
How to apply
Read the full job description using the provided link. Applications are reviewed on a rolling basis until the position is filled, so candidates should apply as soon as possible through the job posting.
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