Postdoctoral Research position on Adversarial Machine Learning

15 ott - Collegno
AI4I

ph3Postdoctoral Research position on Adversarial Machine Learning Formal Verification /h3pAI4I is looking for a creative and highly motivated postdoc or research scientist to join our founding team and help build the next generation of secure agentic AI systems through cutting‑edge research in adversarial machine learning and formal verification. /ph3The Role /h3pAs a research scientist, you will contribute to frontier AI research that addresses emerging security threats in AI products, particularly as autonomous agents become more sophisticated and widely deployed. Working alongside a dedicated team of security researchers, you will have the chance to shape the future of AI security by developing novel defense mechanisms, verification methods, and security frameworks that can withstand adversarial attacks. /ph3Key Responsibilities /h3ulliConduct foundational research in adversarial machine learning, exploring novel attack vectors and defense mechanisms for AI agents and large language models.



/liliDevelop formal verification methods and theoretical frameworks to prove security properties and safety guarantees in agentic AI systems. /liliPublish research findings in top‑tier academic conferences and journals, contributing to the broader scientific understanding of AI security. /liliCollaborate with academic partners and the research community to advance the state‑of‑the‑art in adversarial robustness and trustworthy AI systems. /li /ulh3Minimum Qualifications /h3ulliPhD in Computer Science, Engineering, Mathematics, or a related field with a focus on machine learning, security, or formal methods. /liliStrong publication record in top‑tier conferences or journals in AI security, adversarial machine learning, robustness, or formal verification (e.g., NeurIPS, ICML, ICLR, IEEE S‘P, USENIX Security, CCS). /liliProficiency in Python and experience with at least one additional programming language such as C++, Julia, or Rust for implementing research prototypes. /li /ulh3P

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