14 Postdoctoral Fellowship at Cornell University, New York, United States

Cornell University is seeking applications for two postdoctoral associate positions: a Cornell Joan Klein Jacobs Center for Precision Nutrition and Health Postdoctoral Fellow, and a Postdoctoral Associate, in Artificial Intelligence, Technology, and Precision Nutrition. These positions, supported by a generous gift from Joan and Irwin Jacobs, will join the cadre of trainees supported by the NIH T32 AIPrN training program. This training program represents the first institutional training grant focused on the intersection of artificial intelligence and nutrition (supported by the Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health).

We are committed to training the next generation of wildlife conservation and One Health leaders with an emphasis on applying sound science to influence real world policy and practice, from local to global, through the support of postdoctoral fellowships focused on wildlife health and related One Health challenges over the next decade (for DVMs or equivalents, PhDs and/or DVM/PhDs). Each fellowship is for a three-year term. Fellows will be part of a vibrant, collaborative, multidisciplinary, and inclusive community of faculty, staff, and students working towards improving the health and well-being of animals, people, and the environment that supports us all.

Fellows will be selected for their commitment to generating solid science and ‘decision maker-friendly’ policy guidance to catalyze sustainable conservation impact through a health lens, with an emphasis on progress through partnerships. We value diverse approaches to addressing integrated human, animal, and environmental health challenges. Potential topics are not predefined. Example themes could include impacts on wildlife health at a range of scales due to: degradation or loss of terrestrial or marine habitats; degradation or depletion of freshwater resources; pollution; climate or other biophysical change; infectious disease; current food systems and/or other issues at the wildlife/domestic animal interface. Fellows may come from a diversity of disciplinary backgrounds, including but not limited to veterinary medicine, epidemiology, ecology, biology, computer/data science, economics and other social/behavioral sciences, nutritional sciences, etc.

The Department of Earth and Atmospheric Sciences at Cornell University is seeking a Senior Research Associate to lead an innovative research program in AI, Deep Learning, and machine learning applications for climate science. This research position will advance cutting-edge approaches to climate prediction, extreme event detection, and seasonal forecasting while building a collaborative research group at Cornell. The position offers substantial independence in research direction while emphasizing mentorship of early career researchers and graduate students and the development of novel computational approaches to climate science challenges.

The primary focus of this position is to establish and direct a research program applying state-of-the-art AI techniques to analyze high-resolution climate datasets. Key emphasis will be placed on developing novel AI approaches for detecting anthropogenic climate signals, improving seasonal-to-decadal predictions, and creating innovative visualization methods. The Senior Research Associate will build a team of graduate students and Postdoctoral Associates while making advanced computational methods more accessible to researchers across career stages. A central goal is to enhance the communication and visualization of climate information through innovative data science approaches, making complex climate projections more accessible to stakeholders and decision-makers.

We seek to hire a research and extension oriented postdoctoral associate to join a multi- year project to develop and implement IPM practices for managing the sour rot disease complex in wine grapes. Sour rot disease is caused by a complex of actors including yeast, acetic acid bacteria and Drosophila fruit flies. Damaged berries and high Drosophila populations facilitate the spread of sour rot through vineyards. The sour rot disease complex causes significant economic losses and methods of chemical control for Drosophila risk increasing insecticide resistant populations without significantly decreasing disease severity. Fungicides targeting Botrytis bunch rot are not effective for controlling sour rot since they do not target all causal microorganisms. An integrated approach that quantifies sour rot disease risk based on within-vineyard environmental and management conditions is necessary.

The successful candidate will work with PI Emery and other members of the team to assist NY growers in testing decision-support tools in commercial vineyards, investigating the relationship between Drosophila populations, fruit damage and disease severity and extending actionable management recommendations to all stakeholders. Specific responsibilities will be determined based on candidate’s interests and expertise. This is an exciting opportunity to gain hands on experience working directly with growers and other stakeholders in research and extension to develop and implement research-based integrated pest management practices.

This postdoctoral position is funded by an R01 grant (1R01AG082954-01) from the National Institute on Aging in collaboration with Northwestern University. The project is titled “Advancing the Study of Social Isolation, Loneliness, and Cognitive Functioning in Older Adults Through the Use of Integrative Data Analysis.”

As a postdoctoral associate, you will focus primarily on data analysis and manuscript preparation, with opportunities to publish as first author as well as collaborate on papers with faculty and students. This role provides an excellent opportunity to develop expertise in:

• Integrative data analysis approaches, involving the synthesis of findings across independent studies.
• Lifespan developmental perspectives linking psychological factors to health.
• Cutting-edge quantitative analytic methods. 

The Finkelstein Laboratory in the Division of Nutritional Sciences, Cornell University is seeking applications for a full-time post-doctoral associate. We are conducting several large randomized clinical trials, cohort studies, and surveillance programs, in India, Latin America, and the United States related to nutrition, infectious diseases, and maternal and child health; funded by the National Institutes of Health and the Centers for Disease Control and Prevention.

The post-doctoral associate will provide expertise in statistical analyses and assist with the development of scientific manuscripts and research grant applications. The candidate will work with large, complex datasets from recently completed randomized trials and prospective cohort studies. Responsibilities include cleaning datasets from recently completed research studies, database management, conducting statistical analyses (SAS or R), review/verification and archival of programs for research manuscripts, and providing support for other lab members designing and conducting statistical analyses for research manuscripts. This position will be based in Ithaca, New York, with the potential for remote/flexible work and short-term travel and fieldwork at our international research sites. This is a one-year full-time benefits eligible position which may be extended for up to 4 years depending on performance and continuation of funding.

Postdocs are expected to fully integrate with the NTO’s core research team, and to actively contribute to the technical development and research and dissemination efforts of the National Tutoring Observatory. The postdoc is expected to serve as a domain expert in one of the research themes outlined above. This will involve participating in research and cross-team meetings as needed, engage in design sessions with developers and tutoring providers, and sessions with technical advisory board members, publishing in high-impact scientific journals, and attending conferences. Attendance at the annual NTO in-person team convening is also expected.

Postdoc research projects are not intended to be seed grants for projects unrelated to the work of the National Tutoring Observatory. We aim to support postdoc research for projects that are directly linked to the work of the NTO or closely related work that can be easily translated to the work of the NTO.  Further, this program is meant to produce use-inspired basic and applied research with a strong AI component, driven by real-world education applications.