Careers in Data Science at New York University
Data Science Fellows will be expected to work on research at the boundaries between datascience methods and another field of scholarly activity (domain science, humanities, ethics). They will lead independent, original research programs with impact in one or more scholarly domains and in one or more methodological domains (computer science, statistics, and applied mathematics). They are also encouraged to develop collaborations with partners in other universities and in industry.
The Center for Data Science at New York University invites applications for positions as Moore-Sloan Data Science Fellows. These independent research positions are a prominent feature of the Moore-Sloan Data Science Environment at NYU, a multi-institutional effort funded in part by a generous grant from the Moore and Sloan Foundations.
The Computer Science and Engineering (CSE) department, part of the NYU Tandon School of Engineering in New York University (NYU), and the Center for Data Science (CDS) at NYU invite applications for a joint, open rank, tenure-track or tenured faculty. NYU is one of the top private universities in the United States, and the Tandon School of Engineering has the distinct history of having been known previously as Brooklyn Poly and the NYU Polytechnic School of Engineering.
The Center for Neural Science (CNS) and Center for Data Science (CDS) at New York University invite applications for an open rank faculty position from candidates with research programs aimed at quantitative analyses and modeling of neural data. We are particularly interested in scholars with cross-disciplinary research interests that complement those of our existing faculty.
Data Science Faculty
The Courant Institute of Mathematical Sciences at New York University invites applications for tenured or tenure-track faculty in the Department of Computer Science and in the Department of Mathematics. Two appointments at the Assistant Professor level will be considered for positions beginning in September 2016. We will also consider outstanding candidates at the senior level.
New York University is seeking to fill the position of Director of its recently created Center for Data Science (CDS). The University is strongly committed to building capacity in Data Science; it has committed to funding new faculty appointments in Data Science and related areas. CDS has already established a thriving Master’s Program in Data Science and a PhD program is approved and about to begin. The Director will be responsible for recruiting and maintaining an exceptional faculty and administrative team, attracting high-quality students, and building a high-quality learning and research institution within the University. He or she will also be expected to build partnerships with other Schools, Institutes, and Centers in the University and to foster collaborations and knowledge transfer.
We are looking for talented researchers and developers that are passionate about creating tools and infrastructure to support data science activities. Candidates will lead the development of open source software for data science, similar to IPython, scikit-learn, D3, GraphLab, VisTrails, and UV-CDAT. Candidates will work with like-minded and very talented students, research scientists, and faculty to build tools that will transform and streamline scientific discovery (including the development of tools that improve the reproducibility of scientific results).
Other Data Science open positions
In addition to these positions NYU expects to announce shortly several other data-science-related opportunities including tenure-track faculty positions, software engineering positions at various levels, and evaluation positions for those who will help to assess the impact of our evolving Data Science Environment policies and practices. Appointments will be through the Courant Institute of Mathematical Sciences at New York University in the Department of Computer Science and in the Department of Mathematics.
Prospective faculty members should be experts in their fields and have research interests aligned with the emerging taxonomy of data science. These interests are primarily in mathematical statistics, computational statistics and machine learning, optimization and large-scale computation, system design for large-scale data science, and several application areas, such as artificial intelligence, computational biology, computational economics, or quantitative methods in social science.