We are seeking a highly motivated and talented research scientist working in natural language processing (NLP), machine learning (ML), or/and human computer interaction (HCI) to join our Data and Security Lab at Pittsburgh. This pivotal role will focus on advancing foundational technologies in an AI multi-agent system 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 skill, 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 a multi-agent system 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 Expert-level knowledge or extensive experience in one or more these areas: ML- or LLM-based agent, multi-agent system, modeling and simulations of human behavior, modeling and simulations of social interaction, social cognition, social phycology, social trust, cognitive security Experience in rapid prototyping and testing methodologies to validate the functionality and performance of developed solutions Strong track record of publishing research in top-tier conferences and journals

Preferred requirements:

Experience 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, CHI, and security Experience in interdisciplinary research collaborations

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