Postdoctoral Research Associate
Term/two-year (non-tenure track) Carl Kawaja and Wendy Holcombe Assistant Professorship for postdoctoral research with Professor Roberta De Vito at Brown University's Data Science Initiative: Applications are invited for candidates with a Ph.D. in biostatistics, statistics, applied math, computer science, or a related quantitative field for Postdoctoral Research Associate positions within the Data Science Initiative, at Brown University (https://www.brown.edu/initiatives/data-science/home). The Postdoctoral candidate will work closely and will be advised by Professor Roberta De Vito (https://rdevito.github.io/web/) on projects developing machine learning methods for high-dimensional biological data, like cancer genomics, diets, air pollution, and COVID-19. This position also provides the opportunity to engage in a multi-institutional collaboration, spanning across Duke University, Harvard University, and Dana Farber Cancer Institute aimed at both the development of statistical methodologies and novel applications to the field mentioned above. We seek candidates who work in the areas of causal inference, Bayesian inference, machine learning and prediction, and methodology for big data analysis.
Position Qualifications: Doctoral degree in Statistics, Biostatistics, Computer Science, Applied Math, a related quantitative field. Expertise in Bayesian statistics and/or machine learning is essential. Strong programming skills are required (e.g., in Julia, Python, R, C++).
To apply for this position, please submit the relevant materials (curriculum vitae, list of publications, seminars, and conference contributions, and at least one letter of recommendation) to Interfolio: http://apply.interfolio.com/82006
Inquiries should be addressed to [email protected]. To receive full consideration, complete applications should be received by February 1st, 2020. Applications received after this date may still be considered at the discretion of the search committee.
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