previewlogo

Postdoctoral Fellow in Multimodal Crop Analysis & Fertilizer Optimization for Sustainable Agriculture

Mohammed VI Polytechnic University
localisationBenguerir, Marrakech-Safi, Morocco
Décryptage du poste par Postule AI

About the Position

Mohammed VI Polytechnic University (UM6P) seeks a Postdoctoral Fellow to develop farmer-centric decision-support systems that fuse multi-modal remote sensing, soil, and phenology data to enable crop classification and precise, customized fertilizer recommendations for sustainable agriculture.

Main Responsibilities

  • Design and develop systems integrating multi-modal remote sensing imagery, soil data, and phenological information for crop classification
  • Conduct research on machine learning and deep learning approaches for spatio-temporal data analysis and time-series processing
  • Build reproducible data pipelines using geospatial tools and satellite platforms (Sentinel, Landsat, Google Earth Engine)
  • Collaborate with agronomists and local partners to translate technical outputs into farmer-friendly recommendations
  • Produce high-quality research outputs including first-author publications in relevant journals and conferences

Required Qualifications

  • PhD in Computer Science, Remote-Sensing/Geoinformatics, Agricultural Data Science, or related field (awarded or defended before start date)
  • Strong track record in remote-sensing imagery and/or time-series analysis with machine learning and deep learning for spatio-temporal data
  • Advanced Python skills with experience in ML frameworks (PyTorch/TensorFlow) and geospatial tools (rasterio/GDAL)
  • Ability to work independently and produce reproducible research outputs
  • Fluent English (written and oral) with willingness to collaborate across disciplines

Preferred Qualifications

  • Postdoctoral experience or ≥2 years of research experience after PhD with first-author publications
  • Experience with multimodal data fusion, satellite platforms, and building reproducible research pipelines
  • Field experience, agronomic knowledge, or familiarity with fertilizer-recommendation systems
  • Proficiency in French or Arabic for local engagement

Application Requirements

  1. Cover letter addressing fit with the project and available start date
  2. CV with links to ORCID and GitHub profiles
  3. Research statement (1–2 pages) with a 12–18 month plan
  4. Up to 3 representative papers and links to code/datasets if available
  5. 2–3 referee contacts

Position Details

Location: UM6P, Benguerir, Morocco

Contract Type: Fixed-term, 24 months

Selection Process: Candidates will be shortlisted based on research fit, technical skills, and interdisciplinarity. Top candidates will be invited for a technical interview covering past projects, a 6-month plan, reproducibility practices, and farmer-translation capabilities.

Cette description d'emploi a pu être reformatée par Postule pour améliorer sa lisibilité et sa présentation. Le contenu et les informations restent fidèles à l'offre d'emploi originale. .