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

Mohammed VI Polytechnic University; Occitanie; À distance; EUR 35 000 - 45 000; Plein temps

Résumé du poste

Mohammed VI Polytechnic University is seeking a Post-Doctoral Researcher to advance research on hyperspectral remote sensing for soil fertility mapping. The role involves using advanced data fusion techniques while collaborating with a multidisciplinary team in Africa, addressing critical agricultural sustainability challenges.

Qualifications

• Ph.D. required in Remote Sensing, Geoinformatics, Agronomy, or similar.
• Solid background in hyperspectral remote sensing and image analysis.
• Experience with multispectral/hyperspectral data processing.

Responsabilités

• Develop advanced data fusion techniques for hyperspectral data.
• Validate and calibrate hyperspectral data for soil fertility mapping.
• Publish findings in peer-reviewed journals and present at conferences.

Connaissances

Hyperspectral remote sensing

Image analysis

Data fusion techniques

Python

R

Communication skills

Formation

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

Description du poste

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

Mohammed VI Polytechnic University is an institution oriented towards applied research and innovation with a focus on Africa.

Located in the heart of Benguerir’s future Green City, Mohammed VI Polytechnic University (UM6P) is an internationally oriented higher education institution dedicated to driving development in Morocco and across Africa. UM6P focuses on research and innovation to support education and sustainable development. With state-of-the-art infrastructure, UM6P has built a strong academic and research network and seeks to recruit high-quality professionals to enhance its research- focused environment, based near Marrakech.

About CRSA:

The Center for Remote Sensing Applications (CRSA) is an interdisciplinary research center within UM6P that spans multiple academic programs. CRSA focuses on addressing food and water security challenges in Africa, with a particular emphasis on the use of multi-source remotely sensed data. The center’s research aims to improve the understanding of surface processes and their interactions with climate and human activities, with an emphasis on the sustainable management of natural resources (soil, land, water, and agriculture) in the context of climate change. One of CRSA’s primary objectives is to provide decision- support tools and services to local, national, and international users in water and food systems.

We are seeking a highly motivated Post-Doctoral Researcher to join our team at the Centre for Remote Sensing Applications (CRSA). The successful candidate will play a pivotal role in advancing our research project focused on leveraging hyperspectral remote sensing for soil fertility mappingandcropnutrientmanagementinselectedAfricannations.ThePost-DoctoralResearcherwill beresponsibleforconductinginnovativeresearchanddevelopingadvanceddatafusiontechniquesto integrate hyperspectral data from multiple sources, including UAVs, Earth Observation satellites, and proximal spectroradiometers. This position offers a unique opportunity to contribute to cutting-edge researchthataddressescriticalchallengesinagriculturalsustainabilityandfoodsecurityacrossAfrica.

KeyDuties:

• Conductresearchtodevelopadvanceddatafusiontechniquesforintegratinghyperspectral data for soil fertility mapping.
• Collaboratewithprojectteammemberstocollectandanalyzehyperspectraldatausing UAVs, Earth Observation satellites, and proximal spectroradiometers.
• Leadeffortstovalidateandcalibratehyperspectraldataforsoilfertilitymappingandcrop nutrient management assessments.
• Contributetothedevelopmentofspectrallibrariesandhyperspectralimageryforsoil fertility mapping and crop monitoring.
• Disseminateresearchfindingsthroughpublicationsinpeer-reviewedjournalsand presentations at conferences and workshops.

Qualifications:

• Ph.D.inRemoteSensing,Geoinformatics,Agronomy,orarelatedfield.
• Strongbackgroundinhyperspectralremotesensingandimageanalysisforsoilfertility mapping.
• Experiencewithdatafusiontechniquesandmultispectral/hyperspectraldataprocessing.
• ProficiencyinprogramminglanguagessuchasPythonorRfordataanalysisandprocessing.
• Excellentcommunicationskillsandtheabilitytoworkeffectivelyinamultidisciplinaryteam environment.
• PhysicallyfitandwillingtoengageinextensivefieldworkinvariousAfricancountriesaspart of the research project.

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Job details

Title

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