The Perkins Lab at the University of Notre Dame is seeking exceptional students 
interested in studying diverse topics related to the epidemiology, ecology, and 
evolution of 
vector-borne pathogens. Research activities in the lab involve the use of a 
wide range of 
mathematical, statistical, and computational tools to address basic and applied 
research 
topics, including

(1) forecasting spatiotemporal variability in pathogen transmission and disease 
incidence,
(2) leveraging pathogen genetic data to make inferences about pathogen spread,
(3) coupling mathematical models with empirical studies of vaccines and vector 
control, 
and
(4) blending modeling and experiments to understand and mitigate the evolution 
of vector 
resistance.

In addition to a collegial lab environment with members at a variety of career 
stages and 
from diverse backgrounds, students will have opportunities for mentorship from 
and 
collaboration with a number of intramural and extramural colleagues. A passion 
for 
developing and applying innovative quantitative approaches for extracting 
meaning from 
empirical data and/or elucidating new biological understanding using 
theoretical 
approaches is essential. Engaging in the collection of empirical data is 
encouraged, but not 
required.

Interested applicants should email the PI, Alex Perkins, at [email protected] 
after seeking 
more information at http://perkinslab.weebly.com. Top applicants will have 
prior 
experience in research and a demonstrated commitment to learning new 
quantitative and 
computer programming skills.

Funding is guaranteed via a mixture of research and teaching assistantships for 
5 years. 
The University of Notre Dame offers excellent benefits, a full tuition waiver, 
and a 
generous stipend (~$29K for 2017). A variety of fellowship opportunities are 
open to top 
applicants. For more information regarding the Biology Graduate Program, see 
http://biology.nd.edu and http://graduateschool.nd.edu. The deadline for 
receipt of all 
application materials for the PhD program is December 1, 2017.

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