A postdoctoral position is available to study AI-enabled disease detection in wildlife at Yale University. This position is part of a collaborative project between Yale, the Smithsonian?s Movement of Life Initiative, and Microsoft AI for Good. The position will be based in the laboratory of Dr. Vanessa Ezenwa in the Department of Ecology and Evolutionary Biology (), and the postdoc will lead efforts to develop, test, and validate a machine learning-based pipeline for identifying and extracting data on large mammals from high-resolution satellite imagery. The candidate will use this information to examine links between the spatial organization of large mammal aggregations and disease prevalence. The ultimate goal of the project is to understand how high-resolution imagery can be used for disease surveillance in wildlife.
The salary is $68,000 with benefits. Funding is available for up to two years, depending on annual performance evaluations. The proposed start date is negotiable but could be as early as December 1, 2024.
Interested candidates should submit the following documents by September 30, 2024 for full consideration. Applications submitted after September 30th will be reviewed on a rolling basis until the position is filled.
(1) Cover letter describing your research background and how it relates to this position, key research accomplishments, interests, career goals, and specific motivation for the position (2 pages maximum)
(2) Current Curriculum Vitae (CV)
(3) Contact information for 3 references
(4) One example publication that demonstrates your skills
For questions about the position, contact Vanessa Ezenwa ( [email protected] ).
About Yale University
Yale University is an American private Ivy League research university located in New Haven, Connecticut. Founded in 1701 in the Colony of Connecticut, the university is the third-oldest institution of higher education in the United States.
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