Position Details

The Department of Epidemiology and Biostatistics within the School of Public Health at Indiana University – Bloomington are inviting applications for one or multiple postdoctoral fellow positions in Infectious Disease Modeling

Working under the direct supervision and mentorship of Dr. Marco Ajelli, the postdoctoral fellow will focus on applied infectious disease epidemiology using mathematical, computational, and statistical modeling. We are seeking researchers who are passionate about understanding the mechanisms driving epidemic spread, designing mathematical models, and building computational engines. The postdoctoral fellow 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 applying by April 15, 2026, 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 May 15, 2026

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. The CEPH lab mission is to advance the understanding of infectious disease dynamics. While the immediate goal is excellence in scientific research and publication in high-impact journals, the ultimate mission of the lab is to provide the quantitative evidence to inform national and international public health policy. For more information, visit our GitHub page at https://ceph-lab.github.io

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.

Qualifications: Candidates must have received a doctoral degree in a quantitative field (e.g., Mathematics, Physics, Computer Science, or a related discipline) from an accredited educational institution by the start of appointment. Previous postdoc experience is not required. Computational proficiency is a core requirement: Candidates must be proficient in C or C++ or a track record of mastering multiple low-level and high-level programming languages (e.g., Python, R, Julia, Fortran).

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

Responsibilities: The postdoctoral fellow is expected to develop data-driven mathematical and computational models, with a primary emphasis on the methodological rigor required for high-impact scientific publications. This position is designed as a launchpad for a tenure-track faculty career; as such, the postdoctoral fellow will lead at least one major project while contributing to the collaborative efforts of the lab, contribute to the writing of grant proposals and papers, and mentoring lab members. The work will primarily focus on respiratory infectious diseases (e.g., COVID-19, influenza, RSV) and mosquito-borne diseases but may pivot to public health emergencies.

Application Procedure: Applicants must provide a CV, a statement of research interests, a cover letter detailing your fit for this position, and the contact information for three references. Interested candidates should submit applications at: https://indiana.peopleadmin.com/postings/32436