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systems; human–AI interaction and human–computer teaming; AI-enabled biosensors for continuous health monitoring; world models, simulations, and digital twins; lab-in-the-loop approaches that connect
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evidence of a PhD degree in theoretical physics, or confirmation of completion of the PhD degree requirements. We have strong ties to experimental groups interested in high energy collider physics and
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activities Eligibility Applicants are required to have a PhD in experimental physics by the start of the appointment period. Eligible applicants may not be affiliated with Stanford in a paid or
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and field work, and synthesis of modern, historical, and satellite data. We invite applications from candidates who have completed or will soon complete their PhD in related fields. Application
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candidates who have completed or will soon complete their PhD in economics, political science, environmental policy, or data science as applied to environmental policy. The successful candidate will
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, we require Stanford-affiliated candidates (those who obtained their PhD or completed postdoctoral studies at Stanford) to provide a minimum of four reference letters, with at least three coming from
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overall team effectiveness; incorporates insights to improve team operations. Purpose & Vision (drives vision & purpose): Articulates a clear vision of expected outcomes; inspires others to execute work
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is a partner in the Center for Decoding the Universe @ Stanford and provides opportunities to participate in cross-disciplinary activities in AI/ML and data science with the Stanford Institute for
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Via partner institutions: Carnegie Observatories (Pasadena, CA), Harvard-Smithsonian Center for Astrophysics (Cambridge, MA), Stanford University (Palo Alto, CA), or Yale University (New Haven, CT). The