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Postdoctoral Research Fellow – Weather Prediction Models

UM6P - University Mohammed VI Polytechnic · Benguerir

Nouveau
Senior 🇬🇧 English
Python Machine learning Statistical modeling Remote sensing Data assimilation

Description du poste

About the role

Mohammed VI Polytechnic University (UM6P) in Benguerir, through its CRSACenter, is seeking a Postdoctoral Research Fellow for the project "Crop Growth Monitoring and Yield Forecasting". The fellowship focuses on developing and testing statistical models for accurate forecasting of precipitation and temperature over Morocco, using crop growth models, remote sensing data, data assimilation, machine learning and seasonal weather forecasts.

Key responsibilities

  • Lead the development of advanced statistical models and machine learning algorithms for forecasting precipitation and temperature in Morocco, including data analysis, model design and algorithm implementation.
  • Integrate historical weather data, remote sensing data and crop growth data into the modeling framework, ensuring data quality, consistency and compatibility.
  • Rigorously test and validate the models against actual weather conditions, refining them based on results.
  • Collaborate with researchers, data scientists, agronomists and remote sensing experts to embed the models in the broader project.
  • Document methodologies, code and results, and help prepare research papers, reports and presentations.

Required profile

  • Ph.D. in machine learning, climate science, environmental sciences, geoinformatics or a related field.
  • Professional experience applying machine learning to map and correct spatial data.
  • Experience in data analysis, preprocessing, manipulation and cleaning.
  • Track record of independent research and publications.
  • Familiarity with climate data, remote sensing and crop modeling is a plus.

Required skills

  • Proficiency in advanced learning techniques and statistical modeling.
  • Strong programming in Python or R.
  • Excellent communication and collaboration skills for interdisciplinary work.

To apply, send a cover letter, CV, research statement and contact details for three references; the cover letter should explain how the candidate's skills match the project's goals.

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UM6P - University Mohammed VI Polytechnic

Benguerir