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University of Wisconsin-Madison

Postdoctoral Researcher in Digital Agriculture, Remote Sensing, and Crop Yield Prediction at University of Wisconsin–Madison University of Wisconsin–Madison in United States

Degree Level

Postdoc

Field of study

Computer Science

Funding

Full funding available

Deadline

December 31, 2026
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Country

United States

University

University of Wisconsin-Madison

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Keywords

Computer Science
Environmental Science
Agriculture
Deep Learning
Biology
Remote Sensing
Statistics
Machine learning

About this position

Postdoctoral Researcher opportunity in Digital Agriculture at the University of Wisconsin–Madison, within the Digital Agriculture Research Lab in the Department of Biological Systems Engineering. The project is focused on remote sensing, precision agriculture, crop yield prediction, deep learning, crop modeling, and hybrid modeling that combines crop models with machine learning.

The postdoc will work on predicting crop yield at both regional (county) and field scales using satellite remote sensing data and advanced predictive modeling. This is an interdisciplinary research environment with opportunities to collaborate with researchers from diverse backgrounds.

The position is supervised by Associate Professor Zhou Zhang in the Department of Biological Systems Engineering, College of Agriculture and Life Sciences. Candidates with backgrounds in remote sensing, machine learning/deep learning, precision agriculture, and crop modeling are especially encouraged to apply. Strong scientific writing, publication record, and communication skills are also highlighted.

The position is immediately available with a flexible start date and is expected to begin no later than September 2026. Funding details indicate salary is commensurate with experience and the university provides competitive fringe benefits.

To apply, interested candidates should email their CV to Dr. Zhou Zhang at [email protected]. The post does not mention a formal portal or application fee waiver.

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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