The Department of Civil and Environmental Engineering invites applications for Associate Professional Specialist position. This position serves as the Urban Data Science Specialist to the Sustainable Urban Systems (SUS) Lab and associated research projects. The SUS Lab is the umbrella under which research projects led by PI Anu Ramaswami are implemented. These projects currently include the Sustainable Healthy Cities Network (NSF-SRN) and a newly awarded NSF-INFEWS grant, includes other projects relating to work with the United Nations, work with cities, future potential projects with NSF and urban projects associated with Princeton University's Chadha Center for Global India. This position would be responsible for: a) developing & managing and curating datasets related to interdisciplinary sustainable urban systems, in conjunction with the Global City Data project, a federated platform to share urban systems data; b) acquiring new SUS datasets; and c) developing original research related to sustainable urban systems.This role will be responsible for interfacing with data originating from different sectors (water, energy, food, green/open space, transportation, waste, ICT, buildings), disciplines (engineering, public affairs, geography, urban planning) and outcomes (health, environment, equity, resilience). Requirements include extensive experience working datasets & models of multiple types and data sources; extensive experience in integrating data, profiling, validating and cleansing data; well versed/ good understanding of programming languages (Java, Python, R, other) in order to generate/analyze data; experience working with spatial data (GIS, remote sensing); experience or knowledge of Machine Learning, AI and other data science methods. Experience working with data sets from India is preferred.Applicants must apply online at https://www.princeton.edu/acad-positions/position/15621 and include curriculum vitae and cover letter and contact information for three references. Appointment is for two years with the possibility of renewal pending satisfactory performance and continued funding. This position is subject to the University's background check policy.
Internal Number: 121955687
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