Publisher
source

University of North Texas

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PhD Position in Ecosystem Services, Ecology, Economics, and Computer Science University of North Texas in United States

Degree Level

PhD

Field of study

Computer Science

Funding

Full funding available

Deadline

Sep 30, 2026

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Country

United States

University

University of North Texas

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Keywords

Computer Science
Ecology
Environmental Science
Agriculture
Biology
Behavioral Ecology
Computer Vision
Pollination Biology
Environmental Economics
Economics
Statistics

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About this position

PhD position at the University of North Texas in the Lichtenberg lab on ecosystem services, with a project that integrates ecology, economics, and computer science. The position is part of an NSF-funded project focused on understanding and valuing ecosystem services, especially crop pollination.

The student will work with ecological data and field observations to support development of computer vision / AI models and contribute ecological knowledge to an interdisciplinary valuation framework. The project involves collaboration with a computer scientist at UNT and ecologists/economists at other universities. Research activities include fieldwork in Texas, literature synthesis, development of model training datasets, and dissertation research related to the project or to tools for working with species occurrence records.

Funding includes semester and summer salary, a tuition scholarship, and health insurance. The post lists a starting salary of $28,320 per year. Preferred applicants have fieldwork experience, can work in hot conditions, and are patient. The position is based at the University of North Texas in Denton, Texas, United States.

Application deadline: 2026-09-30. Interested applicants should contact Dr. Elinor Lichtenberg before applying and submit a CV, relevant experience, the degree and questions of interest, career goals, and unofficial transcripts.

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.

More information can be found here

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