Postdoctoral Associate(s) in Civic Analytics
The Civic Analytics program at the New York University Marron Institute of Urban Management invites applications for one or more Postdoctoral Associate positions in AI for social impact, working with Professor Constantine E. Kontokosta and the Urban Intelligence Lab.
The Civic Analytics Program works directly with city agencies and non-profit organizations to acquire, analyze, and derive insight from data in order to solve tangible and significant problems of city management, policy, and planning. We conduct rigorous, problem-oriented research that serves the dual purpose to advance our scientific understanding of cities and have a direct impact on public sector decision-making. We confront the computational, economic, and political challenges faced by city agencies in extracting actionable knowledge from data to achieve measurable social impact.
The Postdoctoral Associate(s) will work on one or more projects supported by Google.org and the National Science Foundation, which include:
FDNY response times: using AI and machine learning to improve emergence response times, in close partnership with the analytics team at FDNY;
Data-driven climate action: using high-resolution energy, building, and transportation data from city administrative records, aerial imagery and LiDAR, smart meters, and Waze data (among others) to build spatio-temporal dynamic models of urban GHG emissions and identify pathways to emissions and energy use reductions;
Large-scale human dynamics: using mobility data to understand population dynamics, residential segregation, and response to disasters;
Bias and discrimination in city predictive analytics: using citizen-generated data to detect, measure, and account for bias and disparate impact in machine learning applied to urban decision-making.
The successful candidate(s) will be exposed to a range of research projects as part of a diverse team of research scientists, postdoctoral associates, graduate students, and industry and agency partners. The projects are intended to be both impactful and advance the state-of-the-art in urban data science, and thus lead to publications in top scholarly journals. Opportunities will be provided to gain teaching experience in urban data science and hands-on experience working alongside experts at various government agencies. The Postdoctoral Associate(s) will also interact with colleagues at the NYU Center for Urban Science and Progress and the Tandon School of Engineering, where Prof. Kontokosta holds cross-appointments.
Candidates should hold a doctoral degree in computer science, data science, physics, applied mathematics, operations research, or a relevant computational social science field, including urban planning and economics. Expertise in one or more areas of data science, such as machine learning, deep learning, applied regression techniques, large-scale data management, and/or visualization, is required. Experience and interest in working with urban data and city agencies is strongly preferred. These are one-year positions, renewable for a second year, with competitive salary and benefits. The appointment(s) will begin September 1, 2019.
NYU is committed to substantially increasing the proportion of our scholars from historically underrepresented groups as we strive to create the most intellectually diverse, inclusive, and equitable institution that we can, and we especially encourage candidates from historically underrepresented groups to apply.