Pica Code Ir-2026-097 Model Merging For Federated Learning In Computer Vision

Pubblicato il 06-11-2026 · Italian Ministry of Education, University and Research · Lazio

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 *********: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
Research and implementation of Model Merging techniques for Deep Learning models applied to Computer Vision tasks in Federated Learning settings, addressing both Parameter-Efficient Fine-Tuning (PEFT) and full fine-tuning regimes.
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
Max. 8 MB. Formati Accettati: PDF, RTF, DOC, DOCX, ODT.