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 position.
NYU is one of the top private universities in the United States. The faculty and students of the CSE Department are at the forefront of the high-tech start-up culture in New York City and have access to world-class research centers in visualization, imaging and data analytics (VIDA), cyber security, wireless communications and the game innovation lab, among other areas. The department enjoys close collaborations with the Courant Institute, the NYU Media and Games Network (MAGNET), the Center for Urban Science and Progress, the School of Medicine, and other Schools of NYU. CDS is an interdisciplinary center established recently to advance NYU’s goal of creating the country’s leading data science training and research facilities, and arming researchers and professionals with tools to harness the power of big data.
CSE and CDS invite outstanding applications with a distinguished track record of scholarship and international reputation in the broad area of data science, including data management and machine learning. Candidates must have a PhD in computer science or a closely related discipline, a demonstrated ability to develop and lead high-quality research and attract external funding, and shown excellence in teaching and mentoring. Appointees will contribute to teaching and advising of students at all levels in both CSE and CDS. To apply, visit https://apply.interfolio.com/38861.
The Department of Psychology and the Center for Data Science (CDS) at New York University invite applications for an open rank tenure-track faculty position. The position is to be shared between the two departments. The anticipated start date is September 1, 2017, pending budgetary and administrative approval.
Successful applicants will contribute to research and teaching in the following example areas: (1) Utilization of new methods and technologies for studying human behavior, including naturalistic datasets capturing real-world interactions; (2) New computational techniques for modeling human behavior, such as disentangling causal from correlational patterns, for dealing with unstructured and noisy data, and for improving the quality of statistical inference (e.g., new algorithms from statistics and machine learning); (3) The development of new technical infrastructure that can shed insight into human behavior including the design of novel experimental approaches to the study of behavior; (4) Establish deeper connections between human and machine approaches to extracting knowledge from data, potentially leading to new technologies for studying the mind and new algorithms for data science informed by psychological research (e.g., artificial intelligence and machine learning).
Applicants that bridge between the existing research strengths of the Psychology Department and the Center for Data Science are encouraged. In addition to advancing a research program capable of attracting outside funding, applicants will be expected to contribute to the teaching missions of both the Psychology department and the Center for Data Science. To apply, visit https://apply.interfolio.com/39593.
New York University’s Center for Data Science and PRIISM Applied Statistics Center invite applications for a tenure-track Assistant or Associate Professor in Applied Statistics/Data Science to begin September 2017. The faculty member will be jointly appointed to these two centers and in the HMSS department within the Steinhardt School of Culture, Education, and Human Development. The HMSS department is home to Applied Statisticians, Social Scientists, and Humanities faculty with interdisciplinary ties. The successful candidate will teach classes associated with masters programs in Data Science (MS-DS) and Applied Statistics for Social Science Research (MS-A3SR). NYU Steinhardt is committed to substantially increasing the proportion of our faculty from historically underrepresented groups as we strive to create the most intellectually diverse, inclusive, and equitable institution that we can. Contact Marc Scott, Search Chair, at email@example.com with a brief letter of interest and for application details. To apply, visit https://apply.interfolio.com/38614.
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.
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.