Department: Institute for Sustainable Cities at Hunt
Status: Full Time
Annual Salary Range: $63,686.43 – $63,686.43
Closing Date: Jun 06, 2023 (Or Until Filled)
General Description
The New York City Department of Environmental Protection (NYCDEP) manages a system of 19 interconnected reservoirs that supply drinking water to over 9 million consumers in New York City and surrounding areas. We seek to hire a research scientist or research engineer who will contribute to our efforts to develop, test and apply models of this water supply system. NYCDEP uses a suite of climate, forest ecosystem, watershed, reservoir, and system operations models to investigate the effects of climate change, floods and droughts, land use change, watershed management, and reservoir operations on the NYC water supply. We are seeking a talented scientist or engineer to help us improve and enhance these models.
The position is currently open and is ready to be filled. The position is funded through September 30, 2024. Work location will be NYCDEP office in Kingston, NY. This is a full-time position with employee benefits and is open to qualified candidates of any nationality. If necessary, visas may be arranged through the City University of New York, depending on government policy.
Hiring will occur though the Institute for Sustainable Cities at Hunter College, City University of New York (CUNY), which has a contract to support NYCDEP’s modeling program.
Questions about this position should be directed to:
Dr. Rajith Mukundan, New York City Department of Environmental Protection
rmukundan@dep.nyc.gov
Other Duties
The selected candidate will be expected to present work at scientific and stakeholder meetings; publish in peer-reviewed journals and contribute to NYCDEP reports.
Qualifications
Candidates with experience in any of the following areas of interest will be considered: Simulation of carbon, nitrogen, and phosphorus cycling in the environment; kinetics of the fraction of organic carbon compounds that are precursors to disinfection byproducts in freshwater systems; application of watershed and water quality models for climate change impact assessment; and application of machine learning or artificial neural network approaches to water resources problems.
Candidates with an advanced degree (M.S. or Ph.D.) and an interest/experience in the application of various environmental systems models will be considered. Experience in GIS, statistical analysis, and good writing skills is required.
RFCUNY Benefits
RFCUNY Employee Benefits and Accruals
About the Research Foundation
The Research Foundation of The City University of New York (RFCUNY) was established as a not-for-profit educational corporation chartered by the State of New York in 1963. RFCUNY supports CUNY faculty and staff in identifying and obtaining external support (pre-award) from government and private sponsors and is responsible for the administration of all such funded programs (post-award).
RFCUNY stands between CUNY’s principal investigators (PIs) and the sponsors who support them and strives to fulfill its essential responsibilities to both groups. Working closely with individual PIs and Grants Officers on the campuses, RFCUNY oversees employment, accounting, audit, reporting, purchasing, and special responsibilities that include management of a planned giving program; liaison with governmental agencies and foundations; negotiation of agreements; facility construction and renovation; protection and commercialization of intellectual property; and compliance with applicable standards in research involving human subjects, animal care, environmental and radiological safety, and conflicts of interest.
Equal Employment Opportunity Statement
The Research Foundation of the City University of New York is an Equal Opportunity/Affirmative Action/Americans with Disabilities Act/E-Verify Employer. It is the policy of the Research Foundation of CUNY to provide equal employment opportunities free of discrimination based on race, color, age, religion, sex, pregnancy, childbirth, national origin, disability, marital status, veteran status, sexual orientation, gender identity, genetic information, marital status, domestic violence victim status, arrest record, criminal conviction history, or any other protected characteristic under applicable law.
