Postdoctoral Fellow

Responsibilities

• Developing automated image-analysis workflows; implementing visual validation protocols
• Exploring active learning and crowdsourced annotation approaches
• Quantifying organism movement and behavior through image tracking
• Advancing unsupervised and semi-supervised classification methods to discover previously unrecognized biological groupings
• Explore adaptive AI-guided imaging strategies, including reinforcement-learning approaches that dynamically optimize sampling based on environmental conditions such as turbidity and currents
• Lead the preparation of manuscripts for submission to high-impact peer-reviewed conferences and journals
• Contribute to the intellectual development of students and junior researchers
• Required Qualifications
• PhD in Computer Science or Electrical Engineering received within the last 3 years.
• Essential 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

Requirements

• Candidates with expertise in computer vision, AI/machine learning, and data science are encouraged to apply.
• Salary Range
• $70,000
• Working Conditions
• Most work will take place in a typical office environment
• Periodic trips will be made from Austin to the Marine Science Institute in Port Aransas to work with Dr. Sharon Herzka (Department of Marine Science) and other project collaborators. Travel will require driving a personal vehicle.
• Required Materials
• Resume/CV
• 3 work references with their contact information; at least one reference should be from a supervisor
• Letter of interest
• ----
• Employment Eligibility:
• Please make sure you meet all the required qualifications and you can perform all of the essential functions with or without a reasonable accommodation. ----
• Retirement Plan Eligibility:
• Ba

Benefits

Additional Information

Job Posting Title: Postdoctoral Fellow ---- Hiring Department: Department of Marine Science ---- Position Open To: All Applicants ---- Weekly Scheduled Hours: 40 ---- FLSA Status: Exempt from FLSA ---- Earliest Start Date: Jul 31, 2026 ---- Position Duration: Expected to Continue Until Jun 30, 2027 ---- Location: AUSTIN, TX ---- Job Details: General Notes The University of Texas at Austin's Department of Marine Science and the Marine Science Institute, in collaboration with the Department of Computer Science's Computer Vision group, invite applications for an exciting postdoctoral position at the intersection of marine ecology, ocean technology, machine learning, and high-throughput biological imaging. This position offers a rare opportunity to help pioneer the use of advanced shadowgraph imaging systems for studying the transport and behavior of plankton and larval organisms in dynamic and estuarine environments. Purpose The successful candidate will help develop and validate AI-driven pipelines for the detection, segmentation, classification, and tracking of zooplankton and estuarine-dependent larvae in noisy, high-volume imaging datasets collected under challenging field conditions. The work will involve applying state-of-the-art machine learning approaches to classify organisms despite cluttered imagery, marine snow, suspended particles, and subtle morphological differences among taxa. This position will be located in Austin, TX

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