Open Postdoctoral position, faculty mentor Joelle Rosser

Precision mapping of vector borne diseases using deep learning & high resolution remote sensing data

Faculty in Stanford Medicine are seeking to appoint a Postdoctoral Research Fellow to join a project developing and validating deep learning computer vision models to classify mosquito breeding habitat on very high-resolution remote sensing data. The Postdoctoral Research Fellow will join an interdisciplinary team of physician researchers, epidemiologists, and disease ecologists using multi-modal approaches to train and test AI models for image classification, develop habitat suitability models, and evaluate environmental drivers of arbovirus transmission. Our group is validating and utilizing novel approaches to mapping mosquito microhabitats, using high resolution satellite and unmanned aerial vehicle remote sensing data in combination with ground truth data to evaluate a range of mosquito-borne diseases. Our lab uses a combination of publicly available data and primary data collection. Our lab emphasizes deploying novel strategies to evaluate the impacts of environmental change on human health, in order to better design and test interventions to mitigate the harmful impacts of environmental change. The position is geared for a recent PhD graduate with interest in collaborating across disciplines, and expertise in remote sensing, spatial data analysis, machine learning and computer vision.

The position will be based at Stanford University. The fellowship has two primary goals: to advance our research program on the health impacts of environmental change and to develop the career and interests of the Fellow. The Fellow will work alongside faculty and other research staff at Stanford. Developing the research program will entail supporting the team with compiling and analyzing geospatial datasets, developing and testing deep learning algorithms for complex image classification, optimizing data collection strategies for unmanned aerial vehicle imaging, and leading the drafting of manuscripts. In addition, the Fellow will have opportunities to partner and collaborate with faculty and programs across the University and with our research partners internationally and domestically.