Statistics / Statistics
Machine Learning
* finished (2020/01/15, finished 2020/10/21)| Position ID: | Cornell-Statistics and Data Science-PD2 [#15857, WDR-00022152] |
| Position Title: | Cornell University Postdoctoral Position in Data Science, Machine Learning and Climate: PRISM Cooperative Institute (NSF HDR) |
| Position Type: | Postdoctoral |
| Position Location: | Ithaca, New York 14853, United States [map] |
| Subject Areas: | Data Science Statistics / Statistics Machine Learning |
| Appl Deadline: | 2020/02/15 11:59PM* finished (2020/01/15, finished 2020/10/21) |
| Position Description: |
| Effective immediately, all new Cornell hires, regardless of work
location, must be fully vaccinated with an FDA- or WHO- authorized or
approved COVID-19 vaccine or have obtained a university-approved
disability/medical or religious exemption by December 8, 2021, or
before their start date if after December 8.The natural-human world is characterized by highly interconnected systems, in which a single discipline is not equipped to identify broader signs of systemic risk and mitigation targets. In particular, what risks in agriculture, ecology, energy, finance and hydrology are heightened by climate variability and change? Recent advances in computing and data science, and the data revolution in each of these domains have now provided a means to address these questions.
The PRISM Cooperative Institute, jointly established by Cornell University and nine other institutions (see: sites.google.com/view/prism-prj ) including Columbia University as part of the NSF funded Harnessing the Data Revolution (HDR) Big Idea activity, seeks exceptional candidates for a postdoctoral research position in Data Science and Machine Learning at Cornell University. Appointments are renewable up to a total period of two years. The target start date is August 1, 2020, but positions may be filled immediately. Applicants should have completed their PhD by the time of their appointment.
A Cornell appointed postdoc will be mentored by David S. Matteson (matteson@cornell.edu), with a courtesy appointment at Columbia University's International Research Institute for Climate and Society (IRI) in collaboration with Remi Cousin. Research experience in risk analytics, anomaly detection, network analysis, time series analysis, machine learning, and/or spatiotempotal data integration is required. Some background or interest in climate science/impacts would be an advantage. All applicants must submit a cover letter, a curriculum vitae including a list of publications, research and teaching statements, and arrange to have two reference letters submitted electronically. Up to two relevant research publications may also be submitted. Application materials must be submitted at: https://academicjobsonline.org/ajo/jobs/15857
Evaluation of applicants will begin February 15, 2020 and continue until the position is filled. Diversity and Inclusion are a part of Cornell University’s heritage. We are a recognized employer and educator valuing AA/EEO, Protected Veterans and Individuals with Disabilities. We also recognize a lawful preference in employment practices for Native Americans living on or near Indian reservations. Cornell University is an innovative Ivy League university and a great place to work. Our inclusive community of scholars, students, and staff impart an uncommon sense of larger purpose, and contribute creative ideas to further the university's mission of teaching, discovery, and engagement. |
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