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emerging technologies such as artificial intelligence, quantum technologies, and space-based systems, including large satellite constellations. A recent PhD in physics, engineering, computer
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on the identification of small molecules from mass spectrometry-based metabolomics data, in part based on generative AI models of chemical structures. The position is available starting July 2025, and will remain open
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fellowships and grant supported positions, but you will be asked in the application which positions you are interested in. For further inquiries, contact astropd@princeton.edu. PhD is required. The work
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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 the social
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Postdoctoral Research Associate - Improving Sea Ice and Coupled Climate Models with Machine Learning
to develop hybrid models for sea ice that combine coupled climate models and machine learning. Our previous work has demonstrated that neural networks can skillfully predict sea ice data assimilation
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at the postdoctoral rank are for one year with the possibility of renewal pending satisfactory performance and continued funding; those hired at more senior ranks may have multi-year appointments. A PhD is required
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availability of funding. The anticipated start date for the position is June 1, 2025. Individuals with a strong theoretical background who expect to obtain a PhD in a related field (e.g., statistics
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excellence in education are encouraged to apply. PhD is required. Applicants must apply online at https://puwebp.princeton.edu/AcadHire/position/37861 and include curriculum vitae, research statement and names
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The Program in Latin American Studies (PLAS) is seeking candidates from any discipline who are engaged in scholarly research on topics related to Latin American Studies, including the Caribbean and
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space-based systems, including large satellite constellations. A recent PhD in physics, engineering, computer science, or other relevant fields and strong interest in technical and policy research