Assistant Professor of Economics and Data Science
Department of Economics and the Center for Data Science
New York University Arts and Science
The Department of Economics in the Arts and Science and the Center for Data Science invite applications for one junior tenure track position (Assistant Professor of Economics and Data Science) to begin September 1, 2025, subject to administrative and budgetary approval.
This position is a joint, tenure-line appointment between the Department of Economics of Arts and Science and the Center for Data Science at New York University. The successful candidate will be a faculty member in both units, with teaching, service, and other professional duties split evenly between them. Although the tenure home is in Economics, both units will participate in tenure and promotion evaluations.
Candidates must have outstanding research records, including a proven research record in data science, statistics, casual inference or related fields, with application to economics. Responsibilities of the position include instruction of undergraduate and/or graduate courses within the Department of Economics and Center for Data Science.
All materials must be received by December 15, 2024.To ensure a timely review, it is strongly recommended that materials be submitted no later than November 15, 2024. Candidates should submit curriculum vita, statement of research, recent papers, and the names of three references through https://apply.interfolio.com/156692
Because diversity is an important part of the NYU mission, as part of your letter of interest, please describe briefly how diversity figures into your past, present and future teaching and, if applicable, research. Please visit our website at: https://as.nyu.edu/departments/econ/home/faculty-openings.html for information on how to apply.
In compliance with NYCs Pay Transparency Act, the annual base salary range for this position is $145,000 to $245,000. New York University considers factors such as (but not limited to) the scope and responsibilities of the position, the candidates work experience, education/training, key skills, internal peer equity, as well as market and organizational considerations when extending an offer.
The Arts and Science at NYU is at the heart of a leading research university that spans the globe. We seek scholars of the highest caliber, who embody the diversity of the United States as well as the global society in which we live. We strongly encourage applications from women, racial and ethnic minorities, and other individuals who are under-represented in the profession, across color, creed, race, ethnic and national origin, physical ability, gender and sexual identity, or any other legally protected basis. NYU affirms the value of differing perspectives on the world as we strive to build the strongest possible university with the widest reach. To learn more about the A&S commitment to diversity, equality and inclusion, please read http://as.nyu.edu/departments/facultydiversity.html. EOE/Affirmative Action/Minorities/Females/Vet/Disabled/Sexual Orientation/Gender Identity.
NYU Economics, housed within the division of Arts & Sciences, is one of the worlds leading economic research departments. With a faculty operating on the frontier of knowledge about markets, data, psychology and their all-important interaction, it is consistently ranked as one of the top departments for academic study in economics.
Center for Data Science (CDS) is the focal point for NYUs university-wide initiative in data science, established 5 years ago, and one of the countrys leading data science research and training facilities. CDS is a vibrant space with about 15 jointly appointed faculty (growing to over 20 in the next two years) and about 10 associated faculty across computer science, mathematics, engineering, neuroscience, linguistics, politics, psychology, physics, biology and business; a list of affiliate faculty spanning a wide range ofNYUs schools and departments, a highly successful Masters program and one of the first Data Science PhD programs. CDSs research focuses on tools and methods at the intersection between applied mathematics, data science, high-dimensional statistics, machine learning, optimization, and several data-driven application areas.
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