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Postdoctoral Research Fellow in Deep Learning, Remote Sensing, and Vector-Borne Disease Mapping Stanford University in United States
Degree Level
Postdoc
Field of study
Computer Science
Funding
Full funding availableCountry
United States
University
Stanford University

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About this position
Stanford University is advertising a Postdoctoral Research Fellow position with faculty mentor Joelle Rosser in the Stanford School of Medicine, within Medicine, Infectious Diseases & Geographic Medicine.
The project focuses on precision mapping of vector-borne diseases using deep learning and high-resolution remote sensing data. The fellow will help develop and validate computer vision models to classify mosquito breeding habitat from very high-resolution satellite and UAV imagery, build habitat suitability models, and study environmental drivers of arbovirus transmission. The work is interdisciplinary and combines disease ecology, geospatial analysis, spatial data science, machine learning, and environmental health.
The position is based at Stanford University, United States, and is intended for a recent PhD graduate interested in cross-disciplinary collaboration. The fellow will work with faculty and research staff, analyze geospatial datasets, optimize UAV imaging data collection, and lead manuscript preparation. There may also be opportunities to collaborate with partners across Stanford and with domestic and international research collaborators.
Eligibility highlights: completed PhD; strong background in disease ecology, habitat suitability modeling, remote sensing, geospatial analysis, or computer vision/deep learning; quantitative skills in spatial data analysis, data management, statistics, and machine learning; experience with R and Python is preferred, along with drone/SkySat/PlanetLab/Sentinel-2 data.
Funding: one-year appointment with possible extension; salary at least the Stanford required minimum for postdoctoral scholars (FY27 minimum base pay: $79,056).
How to apply: email a CV, cover letter, and two professional references to Kavita Coombe at [email protected] using the specified subject line.
Funding details
Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.
How to apply
Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.
More information can be found here
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