Fully Funded PhD in Computer Science (Artificial Intelligence for Health): AI-based Virtual Twins for Clinical Decision Support (ENDOTRAIN MSCA Doctoral Network) Sapienza University of Rome in Italy

This fully funded PhD position at Sapienza University of Rome offers an exciting opportunity to conduct cutting-edge research in Computer Science, focusing on Artificial Intelligence for Health. The project, part of the EU Horizon ENDOTRAIN MSCA Doctoral Network, centers on developing AI-based virtual twins for monitoring, disease classification, and decision support in clinical practice, with a special emphasis on endocrinology and adrenal diseases.

Hosted by the Department of Computer Science and the Research lab in Artificial Intelligence for Systems Engineering (RAISE), the successful candidate will work on Work Package 3: Trustworthy Data and Models. The research involves designing hybrid data-driven and model-based AI methods to analyze clinical time series data from sensors, integrating human patho-physiology models for phenotype classification, disease probability estimation, anomaly detection, and early diagnosis. The project will leverage advanced techniques such as AI-guided simulation, black-box optimization, virtual twin synthesis, synthetic data generation, statistical model checking, and machine learning-based classification and regression.

The PhD student will collaborate with leading European institutions, including secondments at the University of Bergen (Norway) and University of Ulm (Germany), gaining exposure to computational biology and biomedical engineering. The interdisciplinary nature of the ENDOTRAIN network ensures participation in workshops, retreats, transferable skills courses, and cohort-wide meetings across Europe, fostering international networking and career development.

Eligibility requires a Master’s degree (or equivalent) in computer science or a related field, proficiency in high-level programming languages, expertise in both symbolic AI and machine learning, fluency in English, and a strong interest in interdisciplinary research. Candidates must not have resided or worked in Italy for more than 12 months in the 36 months prior to recruitment. Full-time commitment and active participation in network training are mandatory.

The position offers a competitive salary package in line with MSCA regulations: a gross living allowance of €3821.53 per month, a mobility allowance of €710 per month, and a family allowance of €660 per month if applicable. These amounts are subject to deductions for social security and taxes according to Italian law. The appointment is for three years, with the possibility of extension, and includes full tuition and stipend support.

Applications must be submitted via the Jobbnorge portal, including all required attachments. For further details, visit the project page and university links provided. The application deadline is February 15, 2026, with the latest possible start date in August 2026.

This position is ideal for motivated graduates eager to advance AI methods for healthcare and contribute to impactful, interdisciplinary research in a vibrant European network.