122 scholarship-phd-agent-based-modelling Postdoctoral positions at Princeton University
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modeling. Positions may begin as soon as September 2025 . A Ph.D. in Mechanical and Aerospace Engineering, Civil and Environmental Engineering, Atmospheric and Oceanic Sciences, Geosciences, Computational
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, to study novel renewable energy technologies. The candidates are expected to have a PhD degree in Chemical Engineering or related field, and have experience with optimization (theory, modeling, and tools
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of the university.Successful candidates will receive a competitive salary and applicable Princeton University benefits in accordance with university guidelines, a taxable moving allowance, and a research allowance. PhD is
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the 2026-27 academic year. As a leading global institution in interdisciplinary research on international issues, PIIRS is dedicated to advancing innovative scholarship that addresses the world's most
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/neuropixel probes and electrical microstimulation to study attention and decision making networks in a behaving animal model together with parallel studies in humans. The project is part of a NIMH Silvio O
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, combines advanced system neuroscience and computational modeling techniques to study planning in rodents engaged in dynamic spatial foraging tasks. The successful candidate will develop computational models
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the various core facilities at Princeton University. The position has a negotiable start date. The term of appointment is based on rank. Positions at the postdoctoral rank are for one year with the possibility
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position. Applicants should have a PhD degree (or expect to receive a PhD degree by June 15, 2025) in Psychology or allied fields (e.g., Sociology) with an interest in conducting research relevant to racial
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interested in computational materials design and discovery. The successful candidate will develop new, openly accessible datasets and machine learning models for modeling redox-active solid-state materials
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. A major focus will be 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