CRSA - Post-Doctoral Researcher in Hyperspectral Remote Sensing for Soil Fertility Mapping

Mohammed VI Polytechnic University; Massachusetts; Remote; USD 50,000 - 70,000; Full time

Job summary

Mohammed VI Polytechnic University seeks a motivated Post-Doctoral Researcher in Hyperspectral Remote Sensing for soil fertility mapping and crop nutrient management. The role involves developing innovative data fusion techniques, collaborating on data collection, and contributing to research in sustainable agriculture and food security.

Qualifications

• Ph.D. in Remote Sensing, Geoinformatics, Agronomy, or related field.
• Strong background in hyperspectral remote sensing and image analysis.
• Experience with data fusion and multispectral/hyperspectral processing.

Responsibilities

• Develop advanced data fusion techniques for hyperspectral data integration.
• Collaborate on collecting and analyzing hyperspectral data from various sources.
• Validate and calibrate hyperspectral data for soil and crop assessments.

Skills

Hyperspectral remote sensing

Data fusion

Image analysis

Python

R

Team collaboration

Communication skills

Education

Ph.D. in Remote Sensing, Geoinformatics, Agronomy, or related field

Job description

Job Title: CRSA - Post-Doctoral Researcher in Hyperspectral Remote Sensing for Soil Fertility Mapping

About UM6P:

Located in Benguerir’s Green City, Mohammed VI Polytechnic University (UM6P) is dedicated to research and innovation to support education and sustainable development in Morocco and Africa. It features state-of-the-art infrastructure and a strong academic network near Marrakech.

About CRSA:

The Center for Remote Sensing Applications (CRSA) at UM6P focuses on food and water security challenges in Africa, emphasizing the use of multi-source remotely sensed data to understand surface processes, climate interactions, and natural resource management, providing decision-support tools for water and food systems.

Job Description:

We seek a motivated Post-Doctoral Researcher for our team at CRSA. The role involves advancing research on hyperspectral remote sensing for soil fertility mapping and crop nutrient management in Africa. Responsibilities include developing data fusion techniques for hyperspectral data from UAVs, satellites, and spectroradiometers, and contributing to sustainable agriculture and food security research.

Key Duties:

• Develop advanced data fusion techniques for hyperspectral data integration.
• Collaborate on collecting and analyzing hyperspectral data from various sources.
• Validate and calibrate hyperspectral data for soil and crop assessments.
• Contribute to spectral library development for soil and crop monitoring.
• Publish research findings in peer-reviewed journals and present at conferences.

Qualifications:

• Ph.D. in Remote Sensing, Geoinformatics, Agronomy, or related field.
• Strong background in hyperspectral remote sensing and image analysis.
• Experience with data fusion and multispectral/hyperspectral processing.
• Proficiency in Python or R for data analysis.
• Excellent communication skills and team collaboration ability.
• Willingness to undertake extensive fieldwork in Africa.