Postdoctoral Research Associates
The Rohani and Drake labs have a position available for a postdoctoral fellow, who will be based at the Odum School of Ecology at the University of Georgia. The position is aimed at using machine learning approaches in order to predict the antigenic evolution of seasonal influenza viruses. The position is part of a CDC-funded collaborative project with Dr Justin Bahl at the University of Georgia.
We are seeking candidates with excellent quantitative skills, including appropriate programming skills, preferably with some background in statistical learning algorithms, epidemiology or molecular systematics. The position is funded for two years, with the possibility of renewal. The salary will be in the range $50K-60K, depending on experience.
Interested candidates should send a letter of inquiry and CV with 3 references to Pej Rohani (firstname.lastname@example.org).
Applications will be evaluated as they come in.
We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, gender identity, sexual orientation, pregnancy and pregnancy-related conditions or any other characteristic protected by law.
I am interested in accepting new graduate students to the lab, with a broad interest in population ecology. Specifically, I would be keen to hear from potential students who have an interest in the ecology and evolution of infectious diseases, general host-natural enemy interactions, spatial ecology and theoretical ecology. Currently, lab research involves a large range of projects that combine field experiments, laboratory microcosm systems, statistical analyses of historical and concurrent data and mathematical modelling approaches.
Funding is available.
If you are interested in the lab’s research focuses, please send me an e-mail (email@example.com) for more information. You can also visit the Odum School of Ecology webpage for more information on graduate programs and the application process