University of California, Santa Cruz
1 month ago
Postdoctoral Scholar in Bayesian Modeling of Humpback Whales University of California, Santa Cruz in United States
Degree Level
Postdoc
Field of study
Computer Science
Funding
Two-year postdoctoral scholar appointment with salary listed at $69,073 to $79,881 per year. The post is a paid postdoc position; no tuition information is mentioned.
Deadline
Oct 17, 2026
Country
United States
University
University of California, Santa Cruz

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About this position
University of California, Santa Cruz is recruiting for a Postdoctoral Scholar in Bayesian modeling, ecology, and humpback whale movement dynamics. The position is hosted in the Department of Ocean Sciences and is supervised by Dr. Alexa Fredston.
The postdoc will statistically integrate multiple datasets to predict humpback whale movement dynamics in California across spatial and temporal scales, using cutting-edge hierarchical Bayesian modeling. The work is explicitly focused on marine ecology, whale monitoring data, and quantitative modeling.
Eligibility highlights: applicants must have a PhD in hand by September 30, 2026 and demonstrated experience in ecology and hierarchical Bayesian modeling. Strongly encouraged experience includes advanced coursework in modeling/statistics/data analysis, programming in R or Python, custom Bayesian modeling in Stan or Rcpp, collaborative coding, Git/GitHub, open science practices, and familiarity with whale survey/tagging/photo-acoustic data.
Funding: this is a paid two-year postdoctoral appointment with a salary of $69,073 to $79,881 per year.
Location: in-person in Santa Cruz, California, United States.
Application: apply via the UCSC recruitment portal before 2026-10-17. Questions may be directed to Dr. Fredston at [email protected].
Funding details
Two-year postdoctoral scholar appointment with salary listed at $69,073 to $79,881 per year. The post is a paid postdoc position; no tuition information is mentioned.
What's required
A PhD in hand by September 30, 2026 is required, along with demonstrated experience in ecology and hierarchical Bayesian modeling. Strongly encouraged qualifications include advanced coursework in modeling, statistics, or data analysis; proficiency in R or Python; experience scripting custom Bayesian models in Stan or Rcpp; software development or collaborative coding experience; Git/GitHub and version control skills; commitment to open science; familiarity with whale monitoring data such as acoustic surveys, visual surveys, photo databases, and tagging data; and experience leading independent research projects with first-author publications where appropriate.
How to apply
Apply through the UCSC recruitment portal using the posting link. Review the full job ad, prepare application materials, and submit before the deadline. Contact Dr. Alexa Fredston by email with questions.
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