Posting Number | G/R25034P |
---|---|
Working Title | Post-Doctoral Associate AD |
Department | Public Health-Epidem & Biostat |
About the University of Georgia | Since our founding in 1785, the University of Georgia has operated as Georgia's oldest, most comprehensive, and most diversified institution of higher education (). The proof is in our more than 235 years of academic and professional achievements and our continual commitment to higher education. UGA is currently ranked among the top 20 public universities in U.S. News & World Report. The University's main campus is located in Athens, approximately 65 miles northeast of Atlanta, with extended campuses in Atlanta, Griffin, Gwinnett, and Tifton. UGA employs approximately 3,000 faculty and more than 7,700 full-time staff. The University's enrollment exceeds 40,000 students including over 30,000 undergraduates and over 10,000 graduate and professional students. Academic programs reside in 18 schools and colleges, as well as a medical partnership with Augusta University housed on the UGA Health Sciences Campus in Athens. |
About the College/Unit/Department | https://publichealth.uga.edu/ |
College/Unit/Department website | https://publichealth.uga.edu/departments/epidemiology-biostatistics/ |
Employment Type | Employee |
Additional Schedule Information | Monday-Friday 8AM-5PM |
Advertised Salary | $60,000-$65,000 |
Anticipated Start Date | 06/01/2024 |
Posting Date | 04/08/2024 |
Closing Date | |
Open Until Filled | Yes |
Special Instructions to Applicants | |
Location of Vacancy | Athens Area |
EOO Statement | 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, ethnicity, age, genetic information, disability, gender identity, sexual orientation or protected veteran status. Persons needing accommodations or assistance with the accessibility of materials related to this search are encouraged to contact Central HR (hrweb@uga.edu). |
Duties/Responsibilities | Develop and validate predictive models to assess country-level measles outbreak risk working closely with Drs. Amy Winter and John Drake using classification methods (including random forests, gradient boosting, and support vector machines) to build the data-driven measles outbreak prediction models. The models will be fit to historical time sequential data. Prediction targets include binary classification of measles outbreaks from monthly historical data. Model considerations will include random and investigator selection approaches for separating train and test datasets, dealing with imbalanced data, nowcasting input data, stratified models to capture regional trends, and ensemble approaches. This output can significantly contribute to decisions about resource allocation for the control and surveillance of measles, enabling global partners to set focus countries for augmented attention and bespoke intervention. |
---|---|
Percentage of time | 50 |
Duties/Responsibilities | Writing papers |
---|---|
Percentage of time | 40 |
Duties/Responsibilities | Presenting findings |
---|---|
Percentage of time | 10 |