We are seeking a highly motivated and talented research scientist working in natural language processing (NLP), machine learning (ML), or/and Artificial Intelligence (AI) to join our Data and Security Lab at Pittsburgh. This pivotal role will focus on endowing AI multi-agent systems with advancing foundational security technologies like safety, privacy-preserving, alignment, authentication, and authorization. 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:

Join us in October 2025 Conduct research on developing novel security and safety technologies for multi-agent systems like threat modeling, vulnerability monitoring, agentic safety check and agentic guardrails 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, a related field, or equivalent practical experience Strong track record of publishing research in top-tier conferences and journals on AI, ML, NLP, or Security Expert-level knowledge and extensive experience in one or more these areas: LLM-based multi-agent systems, security for agent, agent for security, agentic reinforcement learning, and self-evolving multi-agent orchestration and collaboration Proven Experience in rapid prototyping and testing methodologies to validate the functionality and performance of developed solutions

Preferred requirements:

Proficiency in NLP and ML 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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