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Indiana University Bloomington

Postdoctoral Fellow in Biology and Machine Learning for Spatial Population Genetics Indiana University Bloomington in United States

Degree Level

Postdoc

Field of study

Computer Science

Funding

One-year initial postdoctoral appointment with potential reappointment for additional years depending on satisfactory performance and funding availability. Salary will be commensurate with experience and full benefits are included.

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Country

United States

University

Indiana University Bloomington

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Keywords

Computer Science
Evolutionary Biology
Population Genetics
Deep Learning
Biology
Mathematics
Computational Biology
High Performance Computing
Genomic
Statistics
Bioinformatic
ML

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About this position

Indiana University Bloomington is advertising a Postdoctoral Fellow, Biology Smith Lab in the Department of Biology. The position is based in Bloomington, United States, and is supervised by Dr. Chris Smith in the Evolution, Ecology, and Behavior section.

The lab focuses on machine learning approaches for spatial population genetics, with research spanning custom neural architecture design, simulations, and publicly available genomic datasets. The postdoc will work on creating or testing deep learning models for genomics, exploring new techniques related to spatial simulations, and other related topics discussed with the PI.

Applicants should have a Ph.D. in computational biology, bioinformatics, computer science, or a related field, plus demonstrated experience leading computational research projects. Required skills include Python, high performance computing, reproducible analysis pipelines, strong organization, teamwork, and strong communication. Experience in population or evolutionary genetics is preferred, as is experience with deep learning libraries such as PyTorch or TensorFlow.

The appointment is initially for one year with possible reappointment for additional years depending on performance and funding. The role includes full benefits, and salary is commensurate with experience.

To apply, submit a cover letter, CV, and two references through the provided application portal. Review begins May 1, 2026, and the ideal start date is June 1, 2026.

Funding details

One-year initial postdoctoral appointment with potential reappointment for additional years depending on satisfactory performance and funding availability. Salary will be commensurate with experience and full benefits are included.

What's required

Ph.D. in computational biology, bioinformatics, computer science, or a related field is required. Demonstrated experience leading computational research projects is required. Required skills include Python, high performance computing, reproducible analysis pipelines, strong time management and organizational skills, teamwork, excellent written and oral communication, dependability, initiative, and professionalism. Population or evolutionary genetics experience is preferred but not required; experience with population genetics and deep learning libraries such as PyTorch or TensorFlow is preferred.

How to apply

Submit a cover letter, current CV, and the names and contact information for two references through the application link. Direct questions about the position to Chris Smith by email.

More information can be found here

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