University of Maryland at College Park
4 days ago
Postdoctoral Associate in Biology, Computer Science, and AI-Powered Comparative Phenomics University of Maryland, College Park in United States
Degree Level
Postdoc
Field of study
Computer Science
Funding
Full funding availableDeadline
Aug 30, 2026
Country
United States
University
University of Maryland at College Park

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About this position
The Economo Lab at the University of Maryland, College Park is recruiting a Postdoctoral Associate to work at the interface of biology and computer science. The project focuses on large-scale 3D phenotypic data from animals acquired via micro-CT and related modalities, with applications to evolution, ecology, genomic and phenomic variation, and bioinspired design.
The postdoc will contribute to AI-powered segmentation and comparative methods, building on high-throughput imaging work such as the Antscan project. The role is based at the University of Maryland, College Park and involves close collaboration with the Biodiversity and Biocomplexity unit at the Okinawa Institute of Science and Technology in Japan, plus interaction with several UMD research centers and institutes.
Eligibility highlights: PhD in biology, bioinformatics, computer science, or a related field within the past 5 years (or expected before starting). Strong computational skills are required. Experience with 3D image data, segmentation, or comparative morphological analysis is preferred.
Funding: Salary range is $60,000–$75,000. The posting describes a full-time faculty regular postdoctoral appointment and mentions standard benefits.
How to apply: Submit a cover letter and full CV by August 30, 2026. For questions, email [email protected] with the subject line “Postdoc inquiry.”
Funding details
Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.
How to apply
Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.
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