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Postdoc In Topological Data Jobs in Indiana (NOW HIRING)

Indiana University

Postdoctoral Fellow

Bloomington, IN · On-site

$45.30K - $61.50K/yr

Posting Details Position Details Title Postdoctoral Fellow Appointment Status Non-Tenure Track ... Expertise in statistics and data management (using R) Preferred: * Experience designing web-based ...

Jobs for Humanity

Postdoctoral Fellows

Bloomington, IN

$42.70K - $58K/yr

Postdoctoral Fellow in Biostatistics and Health Data Science Specific Title Appointment Type: Postdoctoral Fellow Department: IUSM - Biostatistics Campus: IU School of Medicine Indianapolis Position ...

Jobs for Humanity

Postdoctoral Fellows

Bloomington, IN · On-site

$45.30K - $61.50K/yr

Postdoctoral Fellow in Biostatistics and Health Data Science Specific Title Appointment Type: Postdoctoral Fellow Department: IUSM - Biostatistics Campus: IU School of Medicine Indianapolis Position ...

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Postdoc In Topological Data information

What are the key skills and qualifications needed to thrive as a Postdoc in Topological Data, and why are they important?

To thrive as a Postdoc in Topological Data, you need a strong background in mathematics (particularly topology, algebra, and geometry), data analysis, and a PhD in a related field. Familiarity with computational tools like Python, R, MATLAB, and software libraries for topological data analysis (such as GUDHI or Ripser) is typically required. Exceptional problem-solving ability, collaboration, and strong scientific communication skills help distinguish top candidates in interdisciplinary research environments. These skills are crucial for advancing research, publishing high-quality work, and contributing effectively to collaborative scientific projects.

What are some typical collaborative opportunities for a Postdoc in Topological Data within academic or research settings?

As a Postdoc in Topological Data, you can expect to collaborate closely with interdisciplinary teams, including mathematicians, computer scientists, and domain experts from fields like biology or materials science. Collaborative projects often involve developing or applying topological methods to analyze complex datasets, contributing both theoretical insights and computational tools. These interactions may include co-authoring research papers, participating in joint seminars, and working with graduate students. Such collaborations not only broaden your research impact but also help expand your professional network and skill set.

What is a Postdoc in Topological Data?

A Postdoc in Topological Data is a researcher who has completed their PhD and is engaged in advanced research focused on the application of topology—an area of mathematics dealing with spatial properties—to analyze and interpret complex data sets. These positions typically involve both theoretical work and the development of computational tools to extract meaningful patterns from high-dimensional or complex data. Postdocs in this field often collaborate with interdisciplinary teams in mathematics, computer science, and applied domains such as biology or engineering. The role is intended to deepen expertise, publish research, and prepare for academic or research-intensive careers.
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Infographic showing various Postdoc In Topological Data job openings in Indiana as of May 2026, with employment types broken down into 100% Full Time. Highlights an 89% In-person, and 11% Remote job distribution.

EBIO Postdoctoral Fellow positions in Infectious Disease Modeling

Indiana University Academic Positions

Bloomington, IN

$45.30K - $61.50K/yr

Other

Posted 2 days ago

Job description

Position 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 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 HealthBloomington 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 HealthBloomington combines aspects of a traditional university campus with a strong teaching focus and the research infrastructure of a research-intensive institution.
Basic Qualifications
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).
Department Contact for Questions
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.
Additional Qualifications
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.
Salary and Rank Commensurate with Experience Special Instructions
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 Best Consideration Date 04/15/2026 Expected Start Date 05/15/2026 Posting Number IU-101513-2026

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