The Department of Epidemiology and Biostatistics within the School of Public Health at Indiana University – Bloomington is 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.

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.

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.

Application Procedure: Provide CV, cover letter, research statement, and the contact information for three references. Interested candidates should submit applications through the Indiana University online system following the procedure described at: https://indiana.peopleadmin.com/postings/22596. Questions pertaining to the PeopleAdmin application procedure may be directed to dwarcher@iu.edu. Questions regarding the position may be directed to Marco Ajelli at majelli@iu.edu and/or Maria Litvinova at malitv@iu.edu.

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.