In the coming years, the University of Georgia (UGA) will hire a total of 50 faculty in eight clusters through the Presidential Interdisciplinary Faculty Hiring Initiative in Data Science and Artificial Intelligence (https://t.uga.edu/7hW). One of these clusters will consist of eight tenure-track or tenured faculty in Artificial Intelligence, Data Science, and Infectious Disease Dynamics (https://www.ceid.uga.edu/idd/). This cluster will strengthen and expand UGA’s position as a global leader in infectious disease dynamics.
As part of this hire, the Department of Epidemiology and Biostatistics seeks to fill a position at the Assistant or Associate Professor level in Modeling, statistics, and analytics of infectious diseases. The position is scheduled to start on August 1, 2022 and is an academic year appointment (9 months) with an opportunity to supplement salary during the summer.
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.
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.
Qualifications: Candidates must have a PhD in Biostatistics, Statistics, or a related field; candidates with an equivalent terminal degree (e.g. MD, DSc, DrPH) will also be considered. Please see the requirements for Assistant and Associate Professors in the Unit Criteria for Promotion and Tenure in the College of Public Health. Candidates should be working in an area related to biostatistics, data analytics, machine learning, AI, or mathematical and computational modeling of infectious diseases. Specific areas of interest may include, but are not limited to, multi-scale modeling of vaccines and immunology, forecasting of infectious diseases and interventions, and data analytics or modeling applied to infectious diseases at the individual patient or population levels. Candidates should also demonstrate a track record or the promise of excellence in research productivity commensurate with appointment to the rank of Assistant or Associate Professor.
Responsibilities: The successful candidate will be expected to develop a strong and productive research program with extramural funding. Teaching of both undergraduate and graduate courses offered by the department is expected. Service and outreach activities in the form of commitment to student mentoring and supervision of projects and dissertation research, service to the department, college, and university, as well as the scientific profession are also expected.
To apply and for further information, see: https://www.ugajobsearch.com/postings/225502.
Review of applications begins November 15, 2021 and continues 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. For questions, contact the chair of the search committee, Andreas Handel (firstname.lastname@example.org)
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.