Pica Code IR-2026-098 Project ARISTOTELES - Applying ARtificial Intelligence to Define clinical trajectorieS for personalized predicTiOn and early deTEctiOn of comorbidiTy and muLtimorbidiTy pattErnS

Italian Ministry of Education, University and Research; Italia; On-site; EUR 45,000 - 65,000; Full time

Job summary

Unimore in Italy seeks a researcher to apply artificial intelligence to atrial fibrillation, collaborating with Cardiology researchers to develop AI algorithms for clinical management of at-risk patients.

The project focuses on predicting future events and the evolution of related comorbidities to improve clinical decision-making within the Aristoteles project.

Qualifications

• Conduct scientific research applying AI to atrial fibrillation and related comorbidities.
• Collaborate with Cardiology researchers to develop and evaluate AI algorithms for clinical management.
• Focus on predicting future events and evolution of comorbidities to aid clinical decision-making.

Responsibilities

• Conduct scientific research applying AI to atrial fibrillation and comorbidities.
• Collaborate with Cardiology researchers to develop AI algorithms.
• Support evaluation of AI algorithms for clinical management of at-risk patients.

Skills

Artificial intelligence

Job description

Organisation/Company Unimore Research Field Engineering » Computer engineering Researcher Profile Recognised Researcher (R2) Leading Researcher (R4) First Stage Researcher (R1) Established Researcher (R3) Application Deadline 18 Nov 2026 - 13:00 (UTC) Country Italy Type of Contract To be defined Job Status Not Applicable Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No

Offer Description

The researcher will conduct scientific research aimed at applying artificial intelligence to atrial fibrillation and associated comorbidities, collaborating with Cardiology researchers to support the development and evaluation of artificial intelligence algorithms for the clinical management of at-risk patients affected by this arrhythmia. This focus is specifically on predicting future events and the evolution of associated comorbidities, an important element for improving clinical decision‑making and a specific objective of the Aristoteles project.

• Italy

Eligibility of fellows: country/ies of residence:

• OTHER

Eligibility of fellows: nationality/ies:

• OTHER

Selection process

selective public procedure based on qualifications and interview