We are seeking to recruit Ph.D. students who are passionate about machine learning and mathematical modeling of disease dynamics for admission as the starting date of September/October 2020 or earlier is preferred. Successful applicants will join multi-disciplinary teams working on exciting projects funded through the National Institute of Food and Agriculture – USDA. PhD opportunity is on the improvement of machine learning methods with application to predicting swine disease outbreaks & the development of a generic modeling framework to simulate swine disease spread between individual farms while considering biosecurity settings. Project details: https://cris.nifa.usda.gov/cgi-bin/starfinder/120245/crisassist.txt This exciting PhD position is fully funded by USDA-NIFA and is offered at the Department of Population Health and Pathobiology at North Carolina State University College of Veterinary Medicine, is now open. This research aims: 1) the development of new machine learning algorithms to predict the risk of porcine reproductive and respiratory syndrome virus (PRRSv) spread which will promote informed and targeted disease management and prevention. 2) Development of a generic modeling framework to simulate swine disease spread between individual farms while considering biosecurity leakage will identify how fast and how far PRRSv can spread within and between farms, finally identify the role of biosecurity factors in the disease spread. Please email Prof. Machado if interested: gmachad@ncsu.edu

You will work with the Postdoc hire in this position
https://github.com/gustavo-etal/Job-Opportunities/blob/master/Mathematical.pdf