American Economic Association
Location
Ithaca, NY | United States
Job description
Position Title/Short Description
Title: Research Assistant Professor Section: US: Other Academic (Visiting or Temporary) Location: Ithaca, New York, UNITED STATES JEL Classification: C1 -- Econometric and Statistical Methods and Methodology: General Full Text of JOE Listing: Research Assistant Professors Center for Data Science for Enterprise & Society Cornell University The Center for Data Science for Enterprise & Society at Cornell University announces a new program to recruit multiple candidates to be hired as Research Assistant Professors; these are 3-year non-tenure-track positions that are funded in part by the Center and in part by a cooperating unit at Cornell University, either at the Ithaca campus or at Cornell Tech in New York City. The first cohort recruited for this program will start in academic year 2020-2021. This new Center aims to unify programs and curricula in data science with an initial emphasis on questions grounded in data that are generated by human activity, including computational social science (e.g., sociology and government), the economics/computer science interface, the aspects of digital agriculture in the production and management of agriculture, digital platforms supporting urban infrastructure (e.g., the sharing economy), and as a theme that is cross-cutting in many of these areas, the corresponding issues of privacy, security, and fairness. The areas highlighted are meant to serve only as illustrative; candidates for these Research Assistant Professorships are sought from all areas of research that either advance the state of the art in data science, or extend the reach of data-driven research into novel application domains. Applicants should submit their curriculum vitae (CV) and a research statement summarizing their accomplishments to date, as well as a diversity statement; they must also submit a two-page description of proposed research for the period to be spent at the Center, including a proposed primary Cornell faculty member to mentor the candidate (and potentially a secondary mentor to span both some relevant area from the application domain as well as someone from a core data science domain); two letters of recommendation and a reference letter of support from the Cornell faculty mentor(s). Candidates are expected to have completed their Ph.D. prior to the start of this position, and to have already done substantial research in areas relevant to the Center. Applications should be submitted by February 15, 2020 for full consideration, but applications will continue to be reviewed on an ongoing basis until the positions are filled. The Center for Data Science for Enterprise & Society embraces diversity and seeks candidates who can contribute to a welcoming climate for students, staff and faculty of all races and genders. We strongly encourage women and underrepresented minorities to apply. Diversity and Inclusion are a part of Cornell University's heritage. We are a recognized employer and educator valuing AA/EEO, Protected Veterans and Individuals with Disabilities. Cornell University is an innovative Ivy League university and a great place to work. Our inclusive community of scholars, students, and staff impart an uncommon sense of larger purpose, and contribute creative ideas to further the university's mission of teaching, discovery, and engagement. Application Materials Required: Submit the following items online at this website to complete your application: Cover Letter Curriculum Vitae Research Statement Publication List Two-page description of proposed research Letter of support from proposed Cornell faculty mentor(s) Diversity Statement Two or More References (no actual letters, just names and email addresses help popup) And anything else requested in the position description. Further Info: email 607-255-9146 Cornell University 206 Frank H. T. Rhodes Hall 136 Hoy Road Ithaca, NY 14853 Application Requirements: * External Application Link Application deadline: 06/15/2020* Apply for This Job (link)Job tags
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