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Up to 30% off — ends 2 Aug
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Mohammed VI Polytechnic University
6 days ago
Postdoctoral position in Hybrid Machine Learning and Physics-Based Modeling for Hydroclimatic Extremes in Data-Scarce Regions Mohammed VI Polytechnic University in Morocco
Degree Level
Postdoc
Field of study
Computer Science
Funding
Full funding availableCountry
Morocco
University
Mohammed VI Polytechnic University

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About this position
Mohammed VI Polytechnic University (UM6P) in Benguerir, Morocco, through the International Water Research Institute (IWRI) within the College of Agriculture and Environmental Sciences, is recruiting a postdoctoral researcher for a project on hybrid machine learning and physics-based modeling for hydroclimatic extremes in data-scarce regions.
The position is centered on developing innovative modeling frameworks that combine machine learning with process-based hydrological and climate models to better understand, detect, attribute, and predict hydroclimatic extremes such as droughts and floods. Morocco is the primary testbed, offering a highly relevant context of water stress, climate variability, and limited observations. The work is intended to produce scientifically robust tools that are also operationally useful for water managers and planning authorities.
Key research themes include integrating heterogeneous data sources such as remote sensing products, reanalysis datasets, and sparse in-situ observations; using transfer learning and uncertainty quantification to improve robustness under data scarcity; and evaluating model performance under non-stationary conditions. The project also seeks to translate model outputs into decision-relevant indicators and assess the feasibility of long-term water management strategies. A further objective is to test whether the developed methods can be transferred to other regions facing similar constraints.
The ideal candidate holds a PhD in hydrology, climate science, geosciences, applied mathematics, computer science, or a related field, and brings strong expertise in machine learning, physically based modeling, or hybrid approaches. Strong programming skills in Python, MATLAB, Fortran, or similar languages are expected, together with familiarity with ML frameworks. Experience with hydroclimatic datasets, uncertainty quantification, data assimilation, transfer learning, and high-performance computing is highly desirable.
UM6P presents itself as a research- and innovation-driven university with a strong focus on Africa’s development, and IWRI positions itself as an African water hub working across integrated water resources management, climate change and adaptation, hydroinformatics, and water technologies. The application deadline is not specified in the listing. Applicants should use the provided online application link to submit their materials.
Funding details
Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.
How to apply
Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.
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