About the Role

Our client is seeking a highly skilled Remote Sensing Scientist with a PhD and strong expertise in machine learning and application development. This role focuses on delivering actionable intelligence on commodity crops globally, leveraging cutting-edge geospatial technologies and advanced analytics.

Key Responsibilities

• Develop and implement remote sensing models for monitoring and forecasting commodity crop conditions worldwide.
• Apply machine learning techniques (e.g., deep learning, neural networks) to large-scale geospatial datasets.
• Design and code applications for data processing, analysis, and visualization.
• Collaborate with cross-functional teams to integrate research outputs into operational workflows.
• Publish research in top-tier geospatial and remote sensing journals.
• Provide technical expertise and insights to support agricultural intelligence initiatives.
• Participate in international travel for research collaboration and field validation.

Required Qualifications

• PhD in Remote Sensing, Geospatial Science, Computer Science, or related field.
• Proven experience in machine learning frameworks (PyTorch, TensorFlow).
• Strong programming skills in Python, Fortran, and C++.
• Demonstrated ability to handle large geospatial datasets and perform advanced data analysis.
• Publication record in leading geospatial or remote sensing journals.

Preferred Qualifications

• Interest or background in agricultural research.
• Experience with cloud computing platforms and big data processing.
• Familiarity with satellite imagery and crop modeling techniques.
• Comfortable with international travel (1-2 times per year for about 4 weeks at a time)