As part of this hire, the Department of Epidemiology and Biostatistics seeks to fill an open-rank, tenure-track or tenured position in biostatistics and machine learning applied to infectious diseases. The position is scheduled to start on August 1, 2023 and is an academic year appointment (9 months) with an opportunity to supplement salary during the summer through teaching and/or external grants
Requirements:
A PhD in Biostatistics is preferred
Text:
Skip to Main Content 215 S. Jackson St. Athens, GA 30602 Tel (706) 542-2222 Email: hrweb@uga.edu Toggle navigation Home Search Jobs Log In /Create Account Help UGA Home UGA Human Resources About UGA Living in Athens Benefits Associate Professor or Full Professor in Biostatistics and Machine Learning Applied to Infectious Diseases Below you will find the details for the position including any supplementary documentation and questions you should review before applying for the opening. To apply for the position, please click the Apply for this Job link/button. If you would like to bookmark this position for later review, click on the Bookmark link. If you would like to print a copy of this position for your records, click on the Print Preview link. Bookmark this Posting | Print Preview | Apply for this Job Please see Special Instructions for more details. Review of applications begins November 15, 2022 and continues until filled. All applications received by November 15th, 2022 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, Kevin Dobbin ( dobbinke@uga.edu ). Posting Details Posting Details Posting Number F1419P Working Title Associate Professor or Full Professor in Biostatistics and Machine Learning Applied to Infectious Diseases 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 ( https://www.uga.edu/ ). 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 College/Unit/Department website Posting Type External Retirement Plan Employment Type Employee Benefits Eligibility Benefits Eligible Underutilization Advertised Salary Anticipated Start Date 08/01/2023 Effective End Date (for Limited-Term postings) Job Posting Date 10/03/2022 Job Closing Date Open until filled Yes Special Instructions to Applicants Review of applications begins November 15, 2022 and continues until filled. All applications received by November 15th, 2022 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, Kevin Dobbin ( dobbinke@uga.edu ). Location of Vacancy Athens Area EEO 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). Position Details Position Information Classification Title Open Rank FLSA Faculty Rank Open Rank (Tenure Track) Contract Type Academic (9 mo.) Tenure Status Tenure Track or Tenured Minimum Qualifications Candidates must have a doctoral degree. Position Summary 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 consists 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 an open-rank, tenure-track or tenured position in biostatistics and machine learning applied to infectious diseases. The position is scheduled to start on August 1, 2023 and is an academic year appointment (9 months) with an opportunity to supplement salary during the summer through teaching and/or external grants. Recognized globally for its contributions to disease ecology, epidemiology, and evolution, UGA seeks to build on its existing 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 better 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. The successful candidate will be expected to continue a trajectory of increased research productivity and successful extramural funding. Teaching of 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. Additional Requirements Please see the requirements for Associate and Full Professors in the Unit Criteria for Promotion and Tenure in the College of Public Health . To be eligible for tenure upon appointment, candidates must be appointed as an Associate Professor or Full Professor, have been tenured at a prior institution, and bring a demonstrably national reputation to the institution. Candidates must be approved for tenure upon appointment before hire. Relevant/Preferred Education, Experience, Licensure, and/or Certification A PhD in Biostatistics is preferred. Preferred Knowledge, Skills, Abilities and/or Competencies We particularly seek internationally recognized scholars at or above the rank of Associate Professor or equivalent. Candidates should have a proven track-record of work at the interface of biostatistics and infectious diseases. Applicants 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 include but are not limited to adaptive Bayesian design of vaccine trials, analysis of high-dimensional data, analysis of diverse data streams, infectious disease forecasting, modeling of infectious disease dynamics, and causal inference. Candidates should also demonstrate a track record or the promise of excellence in research productivity, and be recognized as an emerging or established expert in their area of research. The ability to teach advanced graduate biostatistics courses is preferred Physical Demands Is this a Position of Trust? No Does this position have operation, access, or control of financial resources? No Does this position require a P-Card? No Is having a P-Card an essential function of this position? No Is driving a responsibility of this position? No Does this position have direct interaction or care of children under the age of 18 or direct patient care? No Does this position have Security Access (e.g., public safety, IT security, personnel records, patient records, or access to chemicals and medications) No Credit and P-Card policy Be advised a credit check will be required for all positions with financial responsibilities. For additional information about the credit check criteria, visit the UGA Credit Background Check website. Duties/Responsibilities Posting Specific Questions Required fields are indicated with an asterisk (*). Applicant Documents Required Documents Cover Letter Resume/CV Research Portfolio/Philosophy Teaching Portfolio/Philosophy Other Documents #1 Optional Documents Persons needing accommodations or assistance with the accessibility of materials related to this search are encouraged to contact University HR (hrweb@uga.edu). 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. To ensure the security of your data, you will be logged out due to inactivity in 3 minutes at . Any data not saved will be lost. 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