Remote Sensing Scientist: Agricultural Analytics

Placements24; Noord-Kaap; Híbrido; CAD 90.000 - 130.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Health insurance

Dental insurance

Vision insurance

Flexible PTO

Professional development

Descripción de la vacante

Placements24 is seeking an experienced Remote Sensing Scientist to join its fully remote team, focusing on agricultural monitoring and analysis. You will leverage satellite and aerial imagery to assess crop health, land use, and environmental changes affecting agriculture.

You will develop analytical models, work with agronomists and stakeholders, and contribute to policy-informed insights while advancing geospatial methods in agriculture.

Formación

• PhD or Master's in Remote Sensing, Geography, Environmental Science, Agronomy or related field.
• 6+ years of remote sensing data processing and agricultural applications.
• Proficiency in ENVI, ERDAS Imagine, GEE and ArcGIS; strong Python/R skills.

Responsabilidades

• Acquire, process, and analyze satellite and aerial imagery for agricultural uses.
• Develop algorithms for crop classification and vegetation health assessment (NDVI).
• Integrate remote sensing with soil and weather data for comprehensive analysis.
• Develop automated image-analysis workflows and reporting tools.
• Collaborate with agronomy and data science teams to validate findings.

Conocimientos

Geospatial analysis

Remote sensing

Python

R

NDVI indices

Educación

PhD or Master's in Remote Sensing or Geospatial Science

Herramientas

ENVI

ERDAS Imagine

Google Earth Engine

ArcGIS

Descripción del empleo

Placements24 is seeking an experienced Remote Sensing Scientist to join its fully remote team, focusing on agricultural monitoring and analysis. You will leverage satellite and aerial imagery to assess crop health, land use, and environmental changes affecting agriculture.

You will develop analytical models, work with agronomists and stakeholders, and contribute to policy-informed insights while advancing geospatial methods in agriculture.