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Microsoft AI is seeking a Senior Researcher with deep expertise in psychology, behavioral science, or human‑centered AI to advance research at the intersection of human cognition, AI behavior, safety, and long‑term societal outcomes. This role sits on a multidisciplinary team focused on humanist superintelligence, long‑term AI futures, and the psychological and sociotechnical dynamics that shape how advanced AI systems interact with people, institutions, and society. You will lead scholarship‑driven research using rigorous empirical methods translating foundational insights into product direction, governance frameworks, and external thought leadership.
Job Responsibility:
Conduct original research on the psychological, behavioral, and societal impacts of advanced AI systems—near‑term and long‑horizon
Develop frameworks for human–AI interaction, AI psychology, alignment, and long‑term safety for increasingly capable AI models
Use empirical, qualitative, quantitative, and mixed UXR methodologies to generate insights for Microsoft AI product, design, and policy teams
Publish high‑quality research in academic venues, conferences, journals, and cross‑industry forums
Partner with engineering, product, Responsible AI, and policy teams to translate research into product roadmaps, safety evaluations, governance models, and long‑term planning
Engage external collaborators across academia, think tanks, civil society, and regulatory ecosystems to establish Microsoft as a leader in human‑centered AI psychology and safety research
Influence Microsoft’s research strategy on long‑term AI trajectories, societal flourishing, and resilient ecosystem design
Requirements:
Doctorate in relevant field
OR Master's Degree in relevant field AND 3+ years related research experience
OR Bachelor's Degree in relevant field AND 4+ years related research experience
OR equivalent experience
Demonstrated academic research background with emphasis on human behavior and intelligence, societal impact of technology, cognitive/behavioral sciences, or human‑centered AI
Published work exploring long‑term AI implications, alignment, safety, or human–machine systems
Skilled in synthesizing insights into frameworks that inform product teams, policymakers, and executive leadership
Thrives in multidisciplinary environments bridging research, engineering, and governance