Postdoctoral Research Associate
Texas A&M University SystemAbout the role
Job Title
Postdoctoral Research AssociateAgency
Texas A&M Agrilife ResearchDepartment
Institute Of Renewable Natural ResourcesProposed Minimum Salary
$4,583.34 monthlyJob Location
College Station, TexasJob Type
StaffJob Description
About Texas A&M AgriLife
Texas A&M AgriLife is comprised of the following Texas A&M University System members:
As the nation’s largest most comprehensive agriculture program, Texas A&M AgriLife brings together a college and four state agencies focused on agriculture and life sciences within The Texas A&M University System. With over 5,000 employees and a presence in every county across the state, Texas A&M AgriLife is uniquely positioned to improve lives, environments and the Texas economy through education, research, extension and service.
Click here to learn more about how you can be a part of AgriLife and make a difference in the world!
Position Information
The Texas A&M Natural Resources Institute (NRI) is seeking an innovative and interdisciplinary Postdoctoral Research Associate to serve as an Acoustic Ecologist / Wildlife Research Scientist and advance cutting-edge wildlife monitoring and conservation efforts. This position emphasizes integrating acoustic technologies, artificial intelligence, and ecological field research to address complex conservation challenges.
The successful candidate will bridge wildlife science and audio engineering to design, implement, and analyze acoustic monitoring systems for species detection, behavior analysis, and habitat assessment across diverse ecosystems.
Responsibilities:
- Design and implement acoustic monitoring programs for wildlife populations.
- Develop and apply AI-driven methods for analyzing large-scale acoustic datasets.
- Integrate acoustic data with traditional ecological research and field surveys.
- Customize, deploy, and maintain acoustic recording hardware and sensor systems.
- Collaborate with interdisciplinary teams to enhance conservation strategies and decision-making.
- Publish findings in peer-reviewed journals and contribute to technical reports.
- Support applied conservation initiatives, including endangered species monitoring.
Required Qualifications:
- Ph.D. in Wildlife Science, Rangeland Ecology, Fisheries, or a closely related field.
Preferred Qualifications:
- Demonstrated expertise in wildlife research, ecological field methods, and data analysis.
- Strong analytical skills, including familiarity with AI or machine learning applications.
- Formal training or professional experience in audio engineering, recording arts, or signal processing.
- Experience with acoustic software platforms (e.g., Pro Tools, Nuendo, Cubase).
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