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Post-Doctoral Associate in the Center for Interdisciplinary Data Science and Artificial Intelligence
of reinforcement learning and bandit algorithms Mathematical and algorithmic perspectives on large language models Statistical learning theory and complexity analysis Automated theorem proving and formal methods
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to) study design, data collection, data analysis, manuscript preparation. Candidates must hold a PhD in social psychology or a closely related field, with no more than five years post receipt of the PhD, be
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) diversity, (v) online controlled experiments, and (vi) network science. The ideal candidate is self-motivated and hard-working with a PhD in Data Science, Computational Social Science, Computer
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Post-Doctoral Associate in the Center for Interdisciplinary Data Science and Artificial Intelligence
Statistical learning theory and complexity analysis Automated theorem proving and formal methods Random matrix theory and its applications in modern AI systems Requirements: PhD in Mathematics, Computer Science
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must hold a PhD in social psychology or a closely related field, with no more than five years post receipt of the PhD, be competent in research design and advanced statistical analyses, and have strong
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publications. Applicants must hold a PhD in Marine Science, Marine Ecology, Oceanography, Environmental Science, Geography, Spatial Ecology, or a closely related discipline. With no more than five years post
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Nuclei (AGN) have on their host galaxies. Applicants with a background analyzing and interpreting astrophysical data, in particular the statistical analysis of data obtained by large surveys
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and students, participating in proposal development, and contributing to peer-reviewed publications. Applicants must hold a PhD in Marine Science, Marine Ecology, Oceanography, Environmental Science
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interests in data science or data mining will be considered. A PhD in Data Science, Statistics, or Mathematics is required by the appointment start date. Evidence of excellence in teaching at all levels
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research projects, papers, and publications—to facilitate highly competitive applications to PhD programs. The successful candidate will be given a high degree of responsibility and oversight