Research Associate/Assistant in Spatial Hydrology for short term (12 months) 

Mohammed VI Polytechnic University

Benguerir, Morocco 🇲🇦

About UM6P:

Located at the heart of the future Green City of Benguerir, Mohammed VI Polytechnic University (UM6P), a higher education institution with an international standard, is established to serve Morocco and the African continent. Its vision is honed around research and innovation at the service of education and development. This unique nascent university, with its state-of-the-art campus and infrastructure, has woven a sound academic and research network, and its recruitment process is seeking high-quality academics and professionals in order to boost its quality-oriented research environment in the metropolitan area of Marrakech. 

About CRSA :

CRSA is a transversal structure across several UM6P Programs. Research within the center is organized around several major areas that aim to ensure the challenging Food and Water security goal in Africa, with a special focus on developing methods/tools that use multi-source remotely sensed data. The research aims to improve our understanding of the integrated functioning of continental surfaces and their interaction with climate and humans, with emphasis on sustainable management of natural resources (soil, land, water, agriculture) in the context of Climate Change. One of the centre’s goals is to provide a set of services and operational products to users (local, national and international) that aid in the decision support of water and food systems.

Job description:

The position of Research Associate/Assistant in spatial hydrology is funded through the MorSnow research project “Monitoring and Quantifying Snowmelt Contribution for Moroccan Water Management Strategies in the Context of Climate Change” at the CRSA center at Mohammed VI Polytechnic University in Morocco. The MorSnow research program vision, which launched in June 2020, is to develop decision support tools “DST” for improving water resource management, from experimental to larger basins, by integrating satellite images into hydrological models and artificial intelligence algorithms to quantify and forecast water balance components in Morocco’s upstream reservoirs and basins.

Recently, a variety of spatial datasets related to global hydrology have become accessible and may serve as a complement to in-situ measurements, particularly in regions with limited data. The major challenges in using this open access “coarse resolution” imagery are coming up with new methods to calculate the partitioning of water fluxes at the basin level using hydrological and land surface models. The overall goal of the research work in MorSnow project is to determine whether it is possible to produce quantitative maps of snow water equivalent, snowmelt, evapotranspiration, and runoff over Morocco’s major river basins using remotely sensed data of snow cover, soil moisture, land surface temperature, and precipitation information. Moreover, other long time series from large-scale products (e.g, ERA-5, MERRA, GRACE…etc) will be served as a proxy to analyse the spatiotemporal behaviour of water fluxes loss and its environmental relationship.

In your job as a Research Associate/Assistant, you will carry out studies related to the subject of the Morsnow project, particularly in terms of data collecting, cleaning, and modelling. Therefore, in order to fill in gaps, combine data from different sources, and merge it together, all of these tasks require the intensive use of geospatial data processing tools and software using various computer languages. The new hire will work on developing scripts for multi-sensor image processing and long-time series analysis to filter cloud effects and produce snow and hydrometeorological datasets. Additionally, to distribute hydrometeorological variables over the OER basin for hydrological applications, he or she will develop and improve a spatial Python-based scheme. Another crucial duty for this post is conducting work to assess the performance and the accuracy of several snow and hydrological models for the project platform.

Key duties:

The successful applicant will join the CRSA team to:

  • Process and analyze a lengthy time series of data from various sensors, namely MODIS, Sentinel, and Landsat.
  • handle long, voluminous, and diverse meteorological datasets.
  • Implement and build codes for hydrological and snowmelt models.
  • Utilize MATLAB, Python, R, or another scripting and visualization language to prepare and analyze data.
  • Work in collaboration with the research team and mentor the junior members as they conduct their studies.

Criteria of the candidate:

We are looking for a candidate with a PhD degree from an accredited institution in Water Resources engineering, Hydrology, Remote sensing, Soil sciences, Atmospheric sciences, or closely related fields.


The candidate must have a background in data analysis, coding and general Earth sciences, especially, should have an affinity with long-term satellite datasets processing, hydrology and climate modelling, large computer programs (using e.g. Python, Matlab, R, JS), geospatial database, GIS, and Google Earth Engine platform. In addition, the successful applicant should be highly motivated to doing scientific research with a high frequency of field work in the Atlas Mountain, strong technical and communication skills are essential.


Upload the necessary files via the um6p success factor portal to apply, including your CV, publications list, PhD certificate, motivation letter, etc.

Contact if you have any other concerns:

Pr. Abdelghani Boudhar (

Senior Eng Touria Benmira :






IHE Delft MSc in Water and Sustainable Development