University of Texas at Austin
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1 week ago
Postdoctoral Fellow in Marine Ecology, Ocean Technology, Machine Learning, and High-Throughput Biological Imaging The University of Texas at Austin in United States
Degree Level
Postdoc
Field of study
Computer Science
Funding
Postdoctoral full-time position with a salary of $70,000. Duration is expected to continue until Jun 30, 2027.
Country
United States
University
University of Texas at Austin
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About this position
Postdoctoral Fellow at The University of Texas at Austin, Department of Marine Science, in collaboration with the Department of Computer Science’s Computer Vision group.
This postdoctoral opening sits at the intersection of marine ecology, ocean technology, machine learning, computer vision, and high-throughput biological imaging. The project focuses on advanced shadowgraph imaging systems for studying the transport and behavior of zooplankton and estuarine-dependent larvae in dynamic marine and estuarine environments.
The successful candidate will develop and validate AI-driven pipelines for detection, segmentation, classification, and tracking of organisms in noisy, high-volume imaging datasets. Research tasks include automated image-analysis workflows, visual validation protocols, active learning, crowdsourced annotation, organism movement and behavior quantification, unsupervised and semi-supervised classification, and AI-guided imaging strategies such as reinforcement learning.
Eligibility highlights: applicants must hold a PhD in Computer Science or Electrical Engineering earned within the last 3 years. Required experience includes Python, visual recognition, image segmentation, and rapid prototyping/fine-tuning of open-source computer vision models. Candidates with expertise in AI/ML and data science are encouraged to apply.
Funding: full-time postdoctoral appointment with a stated salary of $70,000. The position is expected to continue until June 30, 2027.
Location: Austin, Texas, with periodic travel to the Marine Science Institute in Port Aransas for collaboration with Dr. Sharon Herzka and project partners.
How to apply: submit a resume/CV, a letter of interest, and 3 work references with contact information through the Workday application portal. Ensure all required materials are uploaded before submitting the application.
Funding details
Postdoctoral full-time position with a salary of $70,000. Duration is expected to continue until Jun 30, 2027.
What's required
PhD in Computer Science or Electrical Engineering received within the last 3 years. Required experience includes Python, modern techniques in visual recognition and image segmentation, and the ability to rapidly prototype and fine-tune open-source computer vision models. Candidates with expertise in computer vision, AI/machine learning, and data science are preferred.
How to apply
Prepare a resume/CV, a letter of interest, and 3 work references with contact information, including at least one supervisor reference. Submit the materials through the Workday application portal for the postdoctoral fellow position.
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