Postdoctoral Researcher – Hybrid Machine Learning for Hydroclimatic Modeling

About the role

The International Water Research Institute (IWRI) at Mohammed VI Polytechnic University invites applications for a postdoctoral researcher to develop hybrid machine‑learning and physics‑based models for hydroclimatic extremes in data‑scarce regions, focusing on Morocco.

Key responsibilities

• Design and implement innovative hybrid modeling approaches that combine data‑driven algorithms with physically based hydrological and climate models.
• Improve prediction of droughts and floods under limited observational data.
• Translate model outputs into actionable information for water resource managers and planning authorities.
• Evaluate long‑term water management strategies to mitigate water scarcity.
• Assess the transferability of the developed methods to other regions with similar data constraints.

Required profile

• PhD in hydrology, climate science, environmental engineering, data science, or a related field.
• Strong research background in hydroclimatic extremes and experience working with limited datasets.
• Ability to communicate scientific results to interdisciplinary stakeholders.

Required skills

• Hybrid machine learning‑physics modeling
• Hydrological modeling
• Climate modeling
• Data analysis in data‑scarce environments