Post-Doctoral Associate – Energy Informatics & Computational Urban Policy
The Building Informatics & Computational Urban Policy research group at the New York University Center for Urban Science and Progress invites applications for a post-doctoral research fellow in urban energy data analytics, sustainability, and environmental policy, working with Professor Constantine E. Kontokosta.
The CUSP Building Informatics & Computational Urban Policy program works extensively with city and federal governments, non-profit organizations, and large real estate firms to collect, process, analyze, and interpret large datasets of building, property, real estate market, energy, and water data in order to advance urban sustainability and resilience goals. Professor Kontokosta has collected a substantial and diverse range of relevant data, covering tens of thousands of buildings across the U.S. and international cities, including real-time consumption data and a variety of correlative data (land use, real estate prices, 311 complaints, property tax information, etc.).
The successful candidate will work on a number of research projects together with a diverse team of faculty and graduate students, city officials, and industry partners. The projects are intended to be both impactful and advance the state of scientific understanding, and thus lead to publications in top scholarly journals. Research activities will include spatial analytics of urban resource consumption, machine learning approaches to urban energy optimization and demand forecasting, predictive modeling of efficiency program adoption and diffusion, modeling the behavioral, social, and economic dynamics of building energy efficiency, and developing tenant energy performance models, among others. Opportunities will be provided for teaching in the CUSP M.S. program and for gaining practical experience working alongside representatives of various New York City agencies. Postdoctoral fellows are also encouraged to pursue their own research interests, develop new collaborations, and pursue research funding in conjunction with Professor Kontokosta.
Candidates should hold a doctoral degree in computer science, data science, civil and environmental engineering, or a relevant computational social science field (ABD candidates will also be considered). Experience with data science, machine learning, applied regression techniques, and/or visualization is required. Experience and training in urban planning, building science, real estate markets, or energy efficiency are preferred. This is a one-year position, renewable for a second year, with very competitive salary and benefits. Desired start date is September 1st, 2015.
Applications will begin being reviewed on May 1st. To apply, submit a cover letter, CV, research statement, examples of publications and/or research output, and the contact information for three references in PDF format to email@example.com
The Center for Urban Science and Progress (CUSP) is a unique public-private research center that uses New York City as its laboratory and classroom to help cities around the world become more productive, livable, equitable, and resilient. CUSP observes, analyzes, and models cities to optimize outcomes, prototype new solutions, formalize new tools and processes, and develop new expertise/experts. These activities will make CUSP the world’s leading authority in the emerging field of “Urban Informatics.”
The Center for Urban Science and Progress (CUSP) is an Equal Opportunity/Affirmative Action Employer, committed to building a culturally diverse educational environment. In keeping with this commitment, CUSP strongly encourages applications from women, people with disabilities and members of minority groups. Individuals with disabilities seeking accommodations in the application process should contact the Office of Equal Opportunity, at firstname.lastname@example.org.