Geospatial Remote Sensing Intern - Satellite Analytics

University of Delaware; United States; Hybrid; USD 40,000 - 50,000; Full time

Benefits offered by this job

Full Benefit Package (Medical, Dental & Vision)

401k plan with company match

Paid Vacation and Holidays

Education Assistance

Wellness Programs

Job summary

A leading agricultural company is seeking a graduate intern to support their Global Germplasm Development Pipeline by utilizing high-resolution satellite imagery and advanced geospatial analytics. This role involves analyzing satellite data, collaborating with research teams, and developing algorithms. Ideal candidates are currently enrolled in graduate programs related to Remote Sensing or GIS, possess strong analytical skills, and are proficient in Python or R programming. Competitive benefits and a culture of inclusion are offered.

Qualifications

• Currently pursuing a graduate degree related to geospatial sciences.
• Proficient in programming with Python or R and understanding of GIS software.
• Knowledge of machine learning applications in remote sensing.

Responsibilities

• Process high-resolution satellite imagery from various sources.
• Develop algorithms for agronomic trait estimation.
• Collaborate with teams to integrate remote sensing insights.

Skills

Spatial reasoning

Analytical problem-solving

Effective communication

Geospatial programming using Python

Understanding of GIS software

Experience with machine learning applications

Education

Currently enrolled as a graduate student

Degree in Remote Sensing, GIS, Geography, Environmental Science, Agricultural Engineering, Geospatial Science, Data Science, or Computer Science

Tools

Python (rasterio, geopandas, GDAL)

R (terra, sf, raster)

ArcGIS Pro

QGIS

Cloud-based geospatial platforms

Job description

A leading agricultural company is seeking a graduate intern to support their Global Germplasm Development Pipeline by utilizing high-resolution satellite imagery and advanced geospatial analytics. This role involves analyzing satellite data, collaborating with research teams, and developing algorithms. Ideal candidates are currently enrolled in graduate programs related to Remote Sensing or GIS, possess strong analytical skills, and are proficient in Python or R programming. Competitive benefits and a culture of inclusion are offered.