Updated: 2 days ago
Location: Indiana, PENNSYLVANIA
Deadline: ;
Posting Details
Position Details
| Title | Post Doctoral Fellow in Infectious Disease Modeling and Data Analysis |
|---|---|
| Appointment Status | Non-Tenure Track |
| Department | IU Bloomington Epidemiology and Biostatistics |
| Location | Bloomington |
| Position Summary | The Department of Epidemiology and Biostatistics within the School of Public Health at Indiana University – Bloomington are inviting applications for two postdoctoral fellow positions in Infectious Disease Modeling and Data Analysis. Working under the direct supervision and mentorship of Dr. Marco Ajelli and Dr. Maria Litvinova, the postdoctoral fellows will develop mathematical models and analyze epidemiological and socio-economic data to advance the knowledge in the field of infectious disease epidemiology. The postdoctoral fellows will be hired for a one-year position with opportunity for renewal on a yearly basis assuming satisfactory performance. The positions include benefits and compensation congruent with NIH stipend levels. Applications will be reviewed on an ongoing basis, with full consideration for those appling by February 25, 2024, and evaluated via an expedited decision process. The appointment start date is negotiable on a case-by-case basis and could begin as early as April 1, 2024. About us: Dr. Ajelli leads the Laboratory for Computational Epidemiology and Public Health (CEPH lab) at the Department of Epidemiology and Biostatistics, Indiana University School of Public Health – Bloomington. Renowned for excellence, his lab is a dynamic hub of impactful research in infectious disease epidemiology and cutting-edge computational modeling. The lab’s unique strength lies in the collaborative synergy among its diverse lab members, each contributing specialized expertise in different fields, including modeling, epidemiology, data analysis, ecology, physics. For more information, the full list of Dr. Ajelli’s publications is available at https://scholar.google.com/citations?user=igKX7EMAAAAJ&hl=en . Dr. Litvinova is spearheading a transformative new research lab at the Department of Epidemiology and Biostatistics, Indiana University School of Public Health – Bloomington. Her lab is dedicated to unraveling the complex links between social, economic, and demographic factors to redefine our understanding of infectious disease dynamics and its drivers. For more information, the full list of Dr. Litvinova’s publications is available at https://scholar.google.com/citations?user=582zt4cAAAAJ&hl=en . Located on the flagship campus of the Indiana University System, IU School of Public Health‐Bloomington has over 200 faculty in five departments. Indiana University is classified as an R1-Highest Research Activity university, is a member of the prestigious Association of American Universities (AAU), and boasts numerous resources. IU School of Public Health‐Bloomington combines aspects of a traditional university campus with a strong teaching focus and the research infrastructure of a research-intensive institution. Indiana University is an equal employment and affirmative action employer and a provider of ADA services. All qualified applicants will receive consideration for employment based on individual qualifications. Indiana University prohibits discrimination based on age, ethnicity, color, race, religion, sex, sexual orientation, gender identity or expression, genetic information, marital status, national origin, disability status or protected veteran status. |
| Basic Qualifications | Qualifications: Candidates must have received a doctoral degree in a quantitative field from an accredited educational institution by the start of appointment. Applicants are expected to have basic knowledge of infectious disease epidemiology. For the position to be hosted at Dr. Ajelli’s lab, preference will be given to candidates with knowledge of C (or C++) and R (or Python), and a strong background in Mathematics or Physics is particularly welcome. For the position to be hosted at Dr. Litvinova’s lab, preference will be given to candidates possessing proficiency in R and demonstrating a robust foundation in Statistics, Biostatistics, Econometrics or Data Analytics. Additionally, experience in analyzing survey or census data is preferred. |
| Department Contact for Questions | Questions pertaining to the PeopleAdmin application procedure may be directed to [email protected] . Questions regarding the position may be directed to Marco Ajelli at [email protected] and/or Maria Litvinova at [email protected] . |
| Additional Qualifications | Responsibilities: The postdoctoral fellows are expected to develop mathematical and/or statistical models, analyze data, and contribute to the dissemination of project findings. The work will primarily focus on respiratory infectious diseases (e.g., COVID-19, influenza, RSV), but other human infectious diseases may be investigated as well. The work conducted by the postodoctoral fellows will have practical implications by providing direct support to national and international public health decision makers through infectious disease forecasts, projections, and scenario analyses. One of the two postdoctoral fellows is expected to primarily focus on mathematical modeling and will be hosted in Dr. Ajelli’s lab. The other postdoctoral fellow is expected to primarily focus on statistical modeling and data analysis and will be hosted in Dr. Litvinova’s lab. Both postdoctoral fellows are expected to lead projects and to work collaboratively with the other members of the labs of Drs. Ajelli and Litvinova. |
| Salary and Rank | Commensurate with Experience |
| Special Instructions | Application Procedure: Provide CV, cover letter, research statement, and the contact information for three references. Interested candidates should submit applications at: https://indiana.peopleadmin.com/postings/22596. |
| For Best Consideration Date | 02/25/2024 |
| Expected Start Date | 04/01/2024 |
| Posting/OAA # | IU-100750-2024 |