• Professional
  • Posted 3 weeks ago
  • Expires on: July 25, 2019


The Data Science Initiative (DSI) at Brown University invites applications for a visiting assistant professor position. The appointment will be for three years (subject to satisfactory performance) with the potential of switching to a renewable 3-year lecturer position afterwards. This position involves teaching two courses per year for our professional Master’s program in Data Science: this program enrolls 35-45 students per year, and our courses are supported by teaching assistants (see our website [] for an overview of this program and a description of the relevant courses). Successful candidates will be expected to start in the fall of 2019. In selecting candidates, we will consider quality of teaching, evidence of effective teaching, and compatibility with at least two of the courses DATA 1030, 1050, 2040, and 2080 offered in our Data Science Master’s program. We will also consider potential for impact within and beyond Brown through teaching, research, outreach, or other professional activities, including engagement and inclusion of culturally diverse students and audiences, as appropriate for the candidate. Brown offers a vibrant community for both teaching and research, with data science research represented in many departments and centers.

Brown’s Data Science Initiative sits at the intersection of these units and provides unique opportunities to engage with scholars across campus in data-science research and teaching. Our mission emphasizes the importance of understanding the societal impacts of data science. The DSI values diversity and inclusion as essential to achieving excellence.

Brown University is located in Providence, RI, close to Narragansett Bay, an hour from Boston and about three hours from New York City. Providence has been consistently rated among the Northeast’s most livable cities and is home to diverse intellectual, artistic, and business communities.

Applications received by June 14, 2019 will be guaranteed full consideration.

Applications and supporting documents should be submitted through Interfolio ( Please include: a cover letter, CV, 2 Letters of Recommendation (with one addressing teaching),  and any additional supporting evidence of teaching effectiveness.