Looking for candidates to apply to the MSCA-Postdoctoral Fellowship with SMHEALTH research group

About

The Smart Technologies Research Group (Universitat Rovira i Virgili - IRBCatSud, Spain) conducts interdisciplinary research at the intersection of trustworthy artificial intelligence, cybersecurity, digital health and computational modelling. The group has a strong track record in European and national projects, with particular expertise in privacy-preserving AI, context-aware and cognitive environments, and data-driven healthcare solutions.

Its research focuses on the development of intelligent sensing environments that integrate multimodal data (e.g., vision, behavioural and contextual signals) to support personalised and preventive healthcare. A central research line is the modelling and assessment of functional ageing aligned with the WHO Intrinsic Capacity framework, combining real-world data acquisition with advanced AI methodologies.

The group collaborates closely with clinical partner enabling validation in real healthcare and elderly-care settings. It offers a dynamic, international and multidisciplinary environment, with strong involvement in European networks and a commitment to open science, responsible research and career development of early-stage researchers.

Candidate profile

The candidate should hold a PhD in Computer Science, Data Science, Biomedical Engineering or a closely related field, with a solid publication record in high-impact venues (journals and/or CORE A/A* conferences).

The ideal candidate will have expertise in one or more of the following areas: machine learning and deep learning (including multimodal and time-series modelling), computer vision, wearable or ambient sensing systems, and context-aware computing. Experience with real-world data acquisition, sensor integration, or digital health applications will be particularly valued. Familiarity with the WHO Intrinsic Capacity framework, or related concepts in ageing and functional assessment, will be considered an advantage.

Strong programming skills are required, as well as experience in data processing pipelines and reproducible research practices. Knowledge of privacy-preserving techniques, explainable AI, or ethical AI is desirable.

The candidate should demonstrate the ability to work independently and collaboratively in interdisciplinary environments, interacting with clinicians, engineers and data scientists. Experience in European research projects, international mobility, and proposal writing will be positively valued. Excellent communication skills in English are required.

More information can be found on: https://www.iispv.cat/en/msca-pf-call-for-interest/

How to apply?

If you are interested in this opportunity, send your expression of interest to  upi@irbcatsud.cat, indicating the MSCA-PF + research group in the subject.