IWRI - Postdoctoral Position in Climate Modeling and Uncertainty Quantification

About UM6P:

Mohammed VI Polytechnic University is an institution dedicated to research and innovation in Africa and aims to position itself among world-renowned universities in its fields. The University is engaged in economic and human development and puts research and innovation at the forefront of African development. Located in the municipality of Benguerir, in the very heart of the Green City, Mohammed VI Polytechnic University aspires to leave its mark nationally, continentally, and globally.

About IWRI:

The International Water Research Institute (IWRI) provides research, education, and innovation in the fields of water and climate. IWRI's vision is to Lead and develop integrated research and processes for Water & Climate concerns in Africa.

Position Summary:

The International Water Research Institute (IWRI) of the College of Agriculture and Environmental Sciences (CAES) at UM6P invites applications for a postdoctoral researcher in climate modeling and uncertainty quantification, focusing on extreme precipitation in data-scarce regions, with Morocco as a primary case study.

Scientific context:

Climate projections rely on a hierarchy of models with increasing spatial resolution, each introducing distinct sources of uncertainty that affect the simulation of extreme precipitation. Global Climate Models (GCMs), Regional Climate Models (RCMs), and Convection-permitting models (CPMs) are discussed in detail.

Research Scope:

The postdoctoral researcher will investigate uncertainty propagation across multi-scale climate modeling frameworks by combining multi-model datasets with dynamical and statistical downscaling approaches, extreme value theory, and spatial statistics.

Candidate Profile:

• PhD in climate science, atmospheric physics, applied mathematics, or related field
• Expertise in climate modeling and/or uncertainty quantification
• Strong programming skills (Python, MATLAB, Fortran, or similar)
• Experience with climate datasets and/or extreme event analysis is desirable
• Proven ability to handle HPC environments is an added asset