Federated Vision: Model Merging for PEFT & Deep Learning

Italian Ministry of Education, University and Research; Italia; On-site; EUR 45,000 - 60,000; Full time

Job summary

Unimore is seeking researchers for advanced work on Model Merging techniques for Deep Learning models applied to Computer Vision tasks within Federated Learning settings. The role emphasizes Parameter-Efficient Fine-Tuning and full fine-tuning regimes, located in Italy and aligned with EU research standards.

The fellowship targets recognized researchers (R2–R4) with a priori qualifications and a selective public procedure based on qualifications and interviews.

Qualifications

• Research and implementation of Model Merging techniques for Deep Learning models in Computer Vision settings.

Responsibilities

• Selective public procedure based on qualifications and interview.

Job description

Unimore is seeking researchers for advanced work on Model Merging techniques for Deep Learning models applied to Computer Vision tasks within Federated Learning settings. The role emphasizes Parameter-Efficient Fine-Tuning and full fine-tuning regimes, located in Italy and aligned with EU research standards.

The fellowship targets recognized researchers (R2–R4) with a priori qualifications and a selective public procedure based on qualifications and interviews.