Publisher
source

T. Trevor Caughlin

5 days ago

Postdoctoral Research Associate in Deep Learning for Plant Species Identification from Drone Imagery Boise State University in United States

Degree Level

Postdoc

Field of study

Computer Science

Funding

Full funding available
Country flag

Country

United States

University

Boise State University

Social connections

How do I apply for this?

Sign in for free to reveal details, requirements, and source links.

More information can be found here

Official Email

Keywords

Computer Science
Ecology
Environmental Science
Agriculture
Deep Learning
Biology
Remote Sensing
Statistics

About this position

Boise State University is hiring a Postdoctoral Research Associate to develop next-generation deep learning methods for identifying plant species from drone imagery.

The postdoc will contribute to open-source AI tools for mapping rangeland plant communities and will work with an interdisciplinary team across Boise State, USDA ARS, and the Sevilleta LTER.

This is a paid postdoctoral position with a salary of $78,000 plus benefits and a two-year initial appointment. The role can be based in Boise, Idaho, or Burns, Oregon.

Applications are being reviewed immediately. Interested applicants should email their materials to [email protected] with the subject line “Deep learning postdoctoral position”.

Relevant study keywords: deep learning, computer science, remote sensing, ecology, plant species identification, rangeland monitoring, environmental science, agriculture.

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.

Ask ApplyKite AI

Start chatting
Can you summarize this position?
What qualifications are required for this position?
How should I prepare my application?

Professors