2026_IR_15_DEI – Federated Learning Methods for Biomedical Data: Data Quality

Organisation/Company Dipartimento di Ingegneria dell'Informazione - Università degli studi di Padova Research Field Engineering Researcher Profile Recognised Researcher (R2) Leading Researcher (R4) First Stage Researcher (R1) Established Researcher (R3) Application Deadline 16 Jul 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 design and implement federated learning methods for heterogeneous multimodal biomedical data with a specific focus on data quality assessment and quality-aware model training. Within the HEREDITARY project (Horizon Europe RIA, grant 101137074), the activity targets Work Package WP2 (Clinical Use Cases and Federated Networking Infrastructure) and WP3 (Multimodal Semantic Integration Platform). The main tasks include: (i) developing federated data profiling and quality estimation algorithms that operate without centralizing sensitive health data; (ii) designing quality-aware aggregation strategies — such as quality-weighted federated averaging — that account for heterogeneity in data completeness, label accuracy, and distributional shift across clinical sites (non-IID setting)...

Eligibility of fellows: country/ies of residence:

Eligibility of fellows: nationality/ies:

#J-18808-Ljbffr