PhD Fellowship: Adversarial Robustness in Multi-Modal AI

AI4I Opens Two International; Piemonte; On-site; EUR 18,000 - 27,000; Part time

Benefits offered by this job

Competitive salaries

Performance incentives

High-performance computing resources

Job summary

AI4I invites applications for a PhD position focused on Adversarial Robustness in Multi-Modal Foundation Models, conducted in collaboration with Politecnico di Torino. The project spans three phases: attack surface study, synthetic adversarial attacks dataset, and automatic attack-sample synthesis.

The work includes dissemination via publications and open-source implementations. Start date is March 1, 2027.

Qualifications

• Strong background in ML/AI with focus on deep learning.
• Familiarity with multi-modal AI models, computer vision, NLP or audio processing.
• Strong programming skills and experience with deep learning frameworks.

Responsibilities

• Conduct research on adversarial robustness in multi-modal AI systems.
• Develop and evaluate attack methods exposing cross-modal weaknesses.
• Create datasets and theoretical frameworks to study vulnerabilities.
• Publish results and contribute open-source tools and best practices.

Skills

ML/AI background

Multi-modal AI models

Computer vision

NLP

Audio processing

Programming skills

Deep learning frameworks

Education

PhD in a related field

Tools

Python

Job description

AI4I invites applications for a PhD position focused on Adversarial Robustness in Multi-Modal Foundation Models, conducted in collaboration with Politecnico di Torino. The project spans three phases: attack surface study, synthetic adversarial attacks dataset, and automatic attack-sample synthesis.

The work includes dissemination via publications and open-source implementations. Start date is March 1, 2027.