EBIO Postdoctoral Fellow positions in Infectious Disease Modeling

Indiana University Bloomington; Bloomington (IN); On-site; USD 50,000 - 70,000; Full time

Job summary

The Chronicle Of Higher Education, Inc. invites applications for EBIO Postdoctoral Fellow positions in Infectious Disease Modeling at Indiana University – Bloomington. The role focuses on applied infectious disease epidemiology using mathematical and computational modeling.

This one-year appointment includes benefits with the possibility of renewal based on performance. Ideal candidates will possess a doctoral degree in a quantitative field, strong computational skills in programming languages, and a passion for understanding epidemic dynamics.

Qualifications

• Doctoral degree in a quantitative field (e.g., Mathematics, Physics, Computer Science).
• Proficient in programming languages like C, C++, Python, R, or Julia.

Responsibilities

• Develop mathematical and computational models for high-impact publications.
• Lead projects, write grants, and mentor lab members.
• Focus on respiratory infectious diseases and public health emergencies.

Skills

Computational proficiency in C/C++

Proficient in Python, R, Julia

Education

Doctoral degree in a quantitative field

Job description

Posting Details

Title: EBIO Postdoctoral Fellow positions in Infectious Disease Modeling

Appointment Status: Non-Tenure Track

Department: IU Bloomington Epidemiology and Biostatistics

Location: Bloomington

Position Summary

The Department of Epidemiology and Biostatistics at the School of Public Health, Indiana University – Bloomington, invites applications for one or more postdoctoral fellow positions in Infectious Disease Modeling. Working under the direct supervision 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 the 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. 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 the lab’s GitHub page at https://ceph-lab.github.io.

Located on the flagship campus of the Indiana University System, the School of Public Health – Bloomington has over 200 faculty in five departments. Indiana University is classified as an R1 – Highest Research Activity university and is a member of the prestigious Association of American Universities (AAU). 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.

Basic Qualifications

• Doctoral degree in a quantitative field (e.g., Mathematics, Physics, Computer Science, or a related discipline) from an accredited institution by the start of appointment.
• Computational proficiency is a core requirement. Candidates must be proficient in C or C++ or have a track record of mastering multiple low‑level and high‑level programming languages (e.g., Python, R, Julia, Fortran).

Responsibilities

• Develop data‑driven mathematical and computational models, with a primary emphasis on the methodological rigor required for high‑impact scientific publications.
• Lead at least one major project while contributing to the collaborative efforts of the lab, contributing to the writing of grant proposals and papers, and mentoring lab members.
• Focus work primarily on respiratory infectious diseases (e.g., COVID‑19, influenza, RSV) and mosquito‑borne diseases, but may pivot to public health emergencies.
• Serve as a launchpad for a tenure‑track faculty career.

Salary and Rank

Commensurate with experience.

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.

For questions regarding the People Admin application procedure, contact [e-mail]. For position‑related questions, contact Marco Ajelli at [e-mail].

Posting Information

• Posting Number: IU-101513-2026
• Best Consideration Date: 04/15/2026
• Expected Start Date: 05/15/2026