Graduate Students

Postdoctoral Research Associates

I am interested in recruiting 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. More broadly, our research addresses questions on spatial synchrony in metapopulations and its impacts on extinction-colonization, the mechanisms and impact of seasonality in population dynamics and eco-evolutionary trajectories.  Currently, lab research involves a range of approaches that combine field experiments, laboratory microcosm systems, statistical analyses of historical and concurrent data and mathematical/computational modelling approaches. 

Funding is available.

If you are interested in the lab’s research focus, please send me an e-mail ( for more information. You can also visit the Odum School of Ecology webpage for more information on graduate programs and the application process.  I can also accept students through UGA’s Integrated Life Sciences program and the Institute of Bioinformatics.

Applications are invited for two postdoctoral associate positions at the Odum School of Ecology at the University of Georgia.   

Position 1 will be part of a collaborative research project aimed at understanding the within-host mechanisms of influenza B virus interactions with other circulating respiratory viruses including influenza A, RSV, and SARS-CoV-2.  The project will test hypotheses regarding the determinants of sequential infections and their epidemiological consequences.  The successful candidate will develop and fit a suite of within-host models to data from challenge experiments and help to formulate multi-scale models to explore potential population-level impacts. The position is part of an NIH center of excellence, Center for Influenza Disease and Emergence Research working directly with Drs. Pej Rohani and Andreas Handel, within a larger collaborative team of Drs. Mark Tompkins, John Drake, Justin Bahl and Andrew Park at the University of Georgia. 

Position 2 is focused on a CDC-funded project to use statistical learning algorithms to understand and predict antigenic evolution of influenza A viruses.  The project will involve the integration of sequence, immunological, biophysical and epidemiological data streams into a predictive model.  The position is part of a collaboration between Drs. Pej Rohani, John Drake and Justin Bahl at the University of Georgia.

Basic Qualifications
We are seeking candidates with excellent scientific programming, quantitative training and communication skills.  Position 1 requires experience with dynamical systems, statistical estimation, preferably with some background in epidemiology.  Position 2 requires experience with statistical learning, working on genetic sequences and virus biology.  Both positions are funded for two years, with the possibility of renewal. The salary will be in the range $48K-70K, depending on experience. 

Applications, including a CV, a statement of research interests and the names and contact details of 3 referees, can be submitted through  Please indicate for which position you are applying. 

Review of applications will start on August 16th 2021 and will continue until the position is filled.