The University of Georgia

is seeking to fill multiple faculty positions through a cluster hire in

Artificial Intelligence, Data Science, &
Infectious Disease Dynamics


The University of Georgia (UGA) is hiring a cluster of eight tenure-track or tenured faculty in Artificial Intelligence, Data Science, and Infectious Disease Dynamics through a Presidential Faculty Hiring Initiative over two years, five with target start date in August 2022 and three with target start date in August 2023.

This cluster will strengthen and expand UGA’s position as a global leader in infectious disease dynamics. Recognized globally for its contributions to disease ecology, epidemiology, and evolution, UGA is seeking to build on its existing core strengths in modeling pathogen spillover, transmission, interventions, and spatial spread by expanding its capabilities in epidemic forecasting, biosurveillance, applications of artificial intelligence to infectious disease research and infectious disease dynamics, and nonparametric, agent-based, and multi-scale modeling of disease transmission.

UGA seeks to expand research at the cutting edge of infectious disease science, and build scientific capacity for pandemic prevention and preparedness. This hiring cluster is aimed at developing an integrated basic and translational scientific paradigm for understanding epidemics.  In line with these goals and new national priorities pertaining to pandemic prediction and preparedness, UGA is seeking data scientists cross-trained in epidemiology, ecology and informatics. UGA is currently hiring for five faculty positions in one of four schools or colleges:

The Department of Statistics,
Franklin College of Arts and Sciences

The Odum School of Ecology

The School of Chemical, Materials and Biomedical Engineering,
College of Engineering

The Department of Epidemiology & Biostatistics,
College of Public Health
(2 positions)

To facilitate interaction among these researchers,
each faculty member will have membership in the
Center for the Ecology of Infectious Diseases (CEID)
and/or the
Institute of Bioinformatics (IOB).

Collectively, these new faculty members will help position UGA to contribute to anticipated national networks of centers for molecular epidemiology, predictive intelligence for infectious diseases, and infectious disease forecasting, modeling, and analytics. In the coming years, the University of Georgia will hire a total of 50 faculty in eight clusters through the Presidential Interdisciplinary Faculty Hiring Initiative in Data Science and Artificial Intelligence (

See list of open positions.

Open Positions

The five currently open positions start on August 1, 2022, and are academic year appointments (9 months) with an opportunity to supplement salary during the summer. Review of applications begins November 15, 2021 and continue until filled. All applications received by November 15th, 2021 will receive full consideration. Applications should include: 1) cover letter, 2) curriculum vitae, 3) research statement highlighting interest in and contributions to infectious disease modeling and forecasting, 4) teaching statement, and 5) statement on commitment to diversity, equity and inclusion. Applicants should also provide names and contact information for at least 3 references using the online system.

The University of Georgia is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, gender identity, sexual orientation or protected veteran status.

Application of artificial intelligence to the study of infectious disease dynamics

School of Chemical, Materials & Biomedical Engineering

Infectious disease modeling & forecasting

Department of Statistics in the Franklin College of Arts & Sciences

Biostatistics and machine learning applied to infectious diseases

Department of Epidemiology & Biostatistics in the College of Public Health

Modeling, statistics, and analytics of infectious diseases

Department of Epidemiology & Biostatistics in the College of Public Health

Quantitative disease ecology

Odum School of Ecology