Ph.D. position in geocomputational and mathematical modeling of diseases

Project Description

We are currently looking for a PhD student interested in applying mathematics, biostatistics, machine learning and geocomputation science to modelling disease transmission systems. We are looking for highly motivated candidates who are interested in applying biomathematics, complexity science, spatial analysis, and advanced data-driven geoAI methods to a major topic area, viz. gaining a better understanding of the spatial transmission dynamics, ecology, and control of human diseases. Applicants should have interests and proficiency in one or more of the following: mathematics, statistics, population biology, geoAI methods, and computer programming. Our current research interest ranges from transmission modelling studies of the major vector-borne diseases, such as lymphatic filariasis, onchocerciasis, malaria and dengue, to environmentally mediated diseases (melioidosis, cholera) and chronic diseases, such as diabetes. This project will involve working with our IBM Research partners to implement models using their STEM spatio-temporal modelling platform. Successful candidates will also work with our country and other international health partners in data acquisition and in model-driven policy analyses.  For an additional perspective on this research, candidates are encouraged to visit our lab website at http://sites.nd.edu/michael-lab/

Contact details

Interested candidates are welcome to contact Prof. Michael directly by email: emichael@nd.edu. Please attach a resume/CV and a brief cover letter to the application email.

Funding Notes

Support for graduate studies includes an annual stipend, benefits and a tuition waiver, and generally comes from grants awarded to the group by the National Institutes of Health, the Bill and Melinda Gates Foundation, and the National Science Foundation. The University of Notre Dame, located in Notre Dame, Indiana, USA, is an internationally recognized research and teaching institution renowned for its academic excellence, world-class faculty, and commitment to cultivating a diverse intellectual community.