Artificial Intelligence methods and systems for integration, analysis and intelligent management of biomedical data in the OUTREACH project

Italian Ministry of Education, University and Research; Italia; On-site; EUR 32,000 - 45,000; Full time

Job summary

Università degli studi di Brescia invites applications for a research position focused on the integration, management, and analysis of biomedical, clinical, social, and territorial data within the OUTREACH project. You will contribute to organizing heterogeneous databases and developing AI/ML models to identify patterns and predictive frailty indicators.

Required are fluency in Italian and English; the role involves exploring intelligent data management, automated information extraction, and

Qualifications

• Knowledge of Italian and English is required.
• Experience in data integration and AI/ML approaches is advantageous.

Responsibilities

• Design solutions for organizing and querying heterogeneous healthcare databases.
• Develop AI, ML, and data mining algorithms for frailty modeling.
• Study intelligent data management techniques and novel decision-support tools.

Skills

Italian language

English language

Job description

Organisation/Company Università degli studi di Brescia Research Field Engineering Researcher Profile Recognised Researcher (R2) Leading Researcher (R4) First Stage Researcher (R1) Established Researcher (R3) Application Deadline 5 Nov 2026 - 14:00 (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 research program focuses on the development of methodologies and software tools for the integration, management, and analysis of biomedical, clinical, social, and territorial data collected within the OUTREACH project (Hospital-University-Territory network). The researcher will contribute to the design of solutions for the organization and querying of heterogeneous healthcare databases, as well as to the development of Artificial Intelligence, Machine Learning, and Data Mining algorithms for the identification of relevant patterns and the construction of predictive models of frailty. The research activities will also include the study of intelligent data management techniques, including Machine Learning methods for data quality, record linkage, heterogeneous data source integration, automated information extraction, advanced database querying, and knowledge representation, as well as the design of decision-support tools for healthcare and social-care professionals.

The evaluation criteria are established in the call, knowledge of Italian and English is required.

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