Assistant Research Scientist — Wetland Analytics & Remote Sensing

University of Maryland; College Park (MD); On-site; USD 80,000 - 90,000; Full time

Job summary

University of Maryland invites applications for a Regular Faculty position in AGNR-Environmental Science & Technology. The successful candidate will participate in developing collaborative research projects on mapping agricultural landscapes, wetlands status, and ecosystem service assessment using remote sensing and machine learning.

Responsibilities include ML/DL model development, integrating multi-sensor datasets, and communicating results to sponsors via reports and publications.

Qualifications

• Earned doctorate in ecology, biology, geography, or environmental science.
• Expertise combining GIS and Remote Sensing with agroecosystem models.
• Five+ years ML/deep learning for wetland classification.
• Experience collecting field samples for model validation.
• Record of publishing in Remote Sensing, GIS, ML/DL applications.

Responsibilities

• Participate in development of collaborative research on mapping landscapes and wetlands.
• Explore ML/DL techniques for quantifying wetlands in agricultural areas.
• Integrate multi-sensor remote sensing data to model wetland dynamics.
• Develop ML models with high-performance computing support.
• Prepare and present findings in reports and journal articles.

Skills

GIS & Remote Sensing

Machine learning

Deep learning

Programming: Python

Programming: R/MATLAB

Field sampling

Education

PhD in ecology/biology/geography/environmental science

Tools

Python

R

MATLAB

GIS software

Job description

University of Maryland invites applications for a Regular Faculty position in AGNR-Environmental Science & Technology. The successful candidate will participate in developing collaborative research projects on mapping agricultural landscapes, wetlands status, and ecosystem service assessment using remote sensing and machine learning.

Responsibilities include ML/DL model development, integrating multi-sensor datasets, and communicating results to sponsors via reports and publications.