Senior Researcher, AI Security

We are seeking a highly motivated and talented research scientist working in machine learning (ML), natural language processing (NLP), and Artificial Intelligence (AI) to join our Security Science Lab at Pittsburgh. This pivotal role will focus on endowing Agentic AI and Robotics with advancing foundational security technologies like safety, privacy-preserving, alignment, authentication, and authorization, through close collaboration with leading universities. We value individuals with a vision to pick up new knowledge, see through complex scenarios and arrive at simple, elegant yet workable solutions. Self-driven nature, creativity, communication skills, and attention to details are traits of a successful researcher in this role.

Job responsibilities:

• Conduct research on developing trustworthy collective intelligence and action models to achieve effectively and efficiently goals of individuals and groups in Agentic AI and Robotics
• Conduct experiments and data analysis to evaluate the effectiveness of research findings on synthetic simulations and real word applications
• Publish findings in renowned scientific journals and conferences, while also showcasing achievements through presentations at invited talks, conferences, and workshops
• Integrate various stages of technologies from early stage in-house developed to commercially available software to develop impactful solutions
• Foster collaboration across interdisciplinary teams, including esteemed professors, to propel research endeavors forward

Essential requirements:

• PhD in Computer Science and a related field
• Strong track record of publishing research in top-tier conferences and journals on ML, AI, and NLP such as ICLR, ICML, NeurIPS, COLM, Nature Machine Intelligence, AAAI, KDD, IJCAI, ACL, and EMNLP, Robotics such as ICRA, IROS, CoRL, and RSS, and security such as CCS, IEEE S&P, USENIX Security, and NDSS
• Expert-level knowledge and extensive experience in one or more these areas: LLM-based agentic systems for security, privacy, and safety, robotics security, privacy and safety, agentic reinforcement learning, self-evolving multi-agent orchestration and collaboration, federated learning
• Proven Experience in rapid prototyping and testing methodologies to validate the functionality and performance of developed solutions

Preferred requirements:

• Industry experience in AI, robotics, Security, or related fields, or equivalent experience through postdoctoral research or impactful projects.
• Proficiency in ML and AI programming written in Python or/and web frontend programming written in TypeScript
• Design and prototype applications combining a variety of tools and platforms
• Experience in integrating multiple technologies from multiple research domains including AI, ML, NLP, and security
• Experience in interdisciplinary research collaborations

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