Postdoc: AI & Remote Sensing for Tropical Forest Carbon

Wake Forest University; Winston-Salem (NC); On-site; USD 50,000 - 70,000; Full time

Job summary

Wake Forest University in Winston-Salem, NC, is seeking a postdoctoral research fellow to conduct cutting-edge research on remote sensing and tropical forest carbon. The role involves developing advanced algorithms, conducting field campaigns, and preparing scholarly articles.

Applicants should hold a PhD or ABD in related fields and have strong skills in geospatial analysis and machine learning. This position is full time and allows for collaboration with a leading research team.

Qualifications

• Strong publication record in remote sensing, forest ecology, and applied machine learning.
• Demonstrated experience in planning and executing field data collection using drones or terrestrial lidar.
• Outstanding skills in interpersonal communication and scientific writing.

Responsibilities

• Develop and implement advanced AI and machine learning algorithms for analyzing remote sensing data.
• Plan and conduct field campaigns to collect high-resolution ecological data.
• Support technical proposal preparation for grant funding.

Skills

Geospatial analysis

Applied machine learning

Deep learning

Forest ecology

Remote sensing data processing

Education

PhD or ABD in Environmental Science, Forestry, Geography, Earth System Science, Computer Science

Tools

Python

R

Google Earth Engine

Job description

Wake Forest University in Winston-Salem, NC, is seeking a postdoctoral research fellow to conduct cutting-edge research on remote sensing and tropical forest carbon. The role involves developing advanced algorithms, conducting field campaigns, and preparing scholarly articles.

Applicants should hold a PhD or ABD in related fields and have strong skills in geospatial analysis and machine learning. This position is full time and allows for collaboration with a leading research team.