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Department invites applications for postdoctoral and more senior research positions in two areas of computer science. 1) Quantum computing and quantum architecture and systems. 2) Reinforcement learning
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-learning models (e.g., graph neural networks, equivariant architectures) in collaboration with computer science researchers. Applying developed models to problems in Earth and planetary interiors, such as
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, facilitating impactful multidisciplinary collaboration, scholarly advancement, and the creation of tools and public goods. Requirements Applicants must have (or expect to have at time of appointment) a PhD in
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optics, optical microscopy or imaging Prior experience integrating hardware and software Fluency in mathematic concepts and manipulations Programming skills for acquiring and analyzing data (e.g., Python
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to validate predictions made by their machine-learning models and drive wet-lab discoveries. The candidate may also have opportunities to work with research software engineers to translate their research
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stakeholders involved in planning and decision-making. Qualifications Candidates must have a PhD in atmospheric physics, hydrology, meteorology, Earth system science, climate studies, applied mathematics
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, neuroscience or a related STEM field Prior experience in the development of scientific instruments Prior experience in optics, optical microscopy or imaging Prior experience integrating hardware and software
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of tools and public goods. Requirements Applicants must have (or expect to have at time of appointment) a PhD in the social sciences, statistics, computer science, or related fields, and their interests must
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or Anthropology, or Architecture. Interdisciplinary scholarship is welcome and encouraged. - Demonstrate strong background in humanistic, critical, interdisciplinary, or social sciences theories and methodologies
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the world's most pressing challenges. The PIIRS Postdoctoral Fellows Program is integral to that mission. We will award up to four postdoctoral fellowships to our 2027-28 cohort. PIIRS seeks recent PhDs in