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Postdoctoral Research Associate in Data Science

Brown University

Job Description

The Data Science Initiative at Brown University ( ) seeks applications for one-year renewable postdoctoral fellowship positions in the area of data science with a start date of July 1, 2023 (flexible).
Brown's Data Science Initiative (DSI) is a growing, transdisciplinary, collaborative unit, supporting research and education in data science across Brown's campus. DSI facilitates and conducts both domain-driven and fundamental research in data science, educates the next generation of data scientists, and explores the impact of the data revolution on culture, society, and social justice. The DSI values diversity and inclusion as essential to achieving excellence and encourages applicants from groups underrepresented in data science. Candidates are encouraged to address their own experiences and/or activities in this area in their application materials.
Candidates are required to have received a Ph.D. degree or equivalent by the start of this appointment and have a strong research record consistent with their level of experience. We seek candidates working in any area of data science, including (but not limited to) exploring geometry and topology of data, developing novel statistical methods and machine learning approaches for big massive data (e.g., genomics, environmental health, nutritional or geophysical data), analyzing massive graphs and networks, scientific machine learning, and others. Attention to the societal impacts of data science and issues of equity and social justice is desirable. Teaching opportunities are available but teaching is not required.
To apply for these positions, please submit the relevant materials (cover letter, curriculum vitae, concise research statement, and three letters of recommendation) to Interfolio. ;
Postdoctoral fellowships are funded jointly by the DSI and a faculty host. Candidates are encouraged to identify one or more faculty members at Brown (DSI core and affiliated faculty or campus-wide faculty) that they would like to work with in their cover letter. Candidates may substitute a letter of support from that faculty member for one of the recommendation letters. We will begin reading applications on January 1, 2023 and continue to review applications until the positions are filled. Inquiries about these positions should be addressed to

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