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notifications June 1 - September 1, 2026: Fellowships start Program Details and Benefits Eligibility Requirements Applicants must have received their Ph.D. in a field relevant to the proposed research by
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theory is a plus but not required. Ideally this person would have a Ph.D. in operations research, computer science, applied math or a related field. The focus of this person's research would be
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of education, training, technical assistance, consulting and research activities of the program. Our Team: The Climate Jobs Institute at Cornell University's ILR School is guiding New York's and the nation's
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. Through the Sustainability Leadership Program , Fellows join a cohort of early career scholars that receives curated support in science communication, strategic career planning, and collaborative leadership
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, consulting and research activities of the program. Our Team: The Climate Jobs Institute at Cornell University’s ILR School is guiding New York’s and the nation’s transition to a strong and resilient clean
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outcomes of education, training, technical assistance, consulting and research activities of the program. Our Team: The Climate Jobs Institute at Cornell University’s ILR School is guiding New York’s and the
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– grants, donors, program revenue. Experience with a multi-faceted organization while managing changing priorities. Approachable/accessible leader for the numerous stakeholders to include board, staff
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the state with specific work to develop forecast methods for streamflow, groundwater, and soil moisture, ideally using machine learning techniques. Other duties include: Developing manuscripts reporting
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). Specializations in the department range from mathematical statistics, computational statistics, and machine learning to the development of statistical methods for astrophysics, ecology, economics, epidemiology
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). Specializations in the department range from mathematical statistics, computational statistics, and machine learning to the development of statistical methods for astrophysics, ecology, economics, epidemiology