18 assistant-professor-computer-science-data-"https:"-"https:" Postdoctoral positions at Georgetown University
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Position Description The Massive Data Institute (MDI) and the Department of Computer Science seek a postdoctoral fellow to join a project that focuses on responsible AI innovation. The project is led
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have an ambitious and active research agenda and a strong record of teaching excellence. Appointment will be at the rank of Assistant Professor, Associate Professor, or Professor, depending on the
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& Statistics. Applicants should have a PhD in any relevant social science disciplines, computer/data science, or other related fields. The postdoctoral fellow will be part of a cross-institute and cross-school
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legal interpretation (see https://solid-symposium.github.io/2025/ for examples of interdisciplinary research in this space). We seek candidates with a Ph.D. in Linguistics, Computer Science, Cognitive
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Postdoctoral Research Associate, who will work with Professor Taylor Jones on projects such as: Creating simulations of future earth-observing satellite data (i.e. OSSEs) to monitor greenhouse gas
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in the criminal justice system and public safety writ large. The Lab conducts interdisciplinary research on how data and evidence can be mobilized to inform more fair outcomes in criminal justice. The
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/BioConductor Demonstrated track-record of supporting data science research Strong written and oral communication skills Ability to prioritize, multi-task in a fast-paced work environment Ability to work
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Budgetary Levels to benchmark appropriate salaries for the Postdoctoral Fellows. Qualifications The ideal candidate will hold a PhD in Cognitive Neuroscience, Psychology, Computer Science, Engineering
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PI to lead the ongoing research projects in the lab 2) To lead the analysis of brain imaging and neurobehavioral data the lab has collected 3) To supervise the research assistant(s) and graduate
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implementation science and will collaborate with an interdisciplinary team to improve the adoption, delivery, and sustainability of evidence-based practices within the child and adolescent psychiatry