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"GSMI - Postdoc in Water Resources Engineering with focus on the hydrologic cycle (10167)"

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GSMI - Postdoc in Water Resources Engineering with focus on the hydrologic cycle (10167)

Job Details

Postdoctoral in Water Resources Engineering with focus on the hydrologic cycle at catchment scale (10167)

Mohammed VI Polytechnic University - Benguerir - Morocco
Geology & Sustainable Mining Institute GSMI

About the employer

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. A mechanism that enables it to consolidate Morocco's frontline position in these fields, in a unique partnership-based approach and boosting skills training relevant for the future of Africa. Mohammed VI Polytechnic University aspires to leave its mark nationally, continentally, and globally.

UM6P is located in the municipality of Benguerir, in the very heart of the Green City and only 70 km away from Marrakech. Thanks to its prestigious architectural landscape and modern equipment, the UM6P offers premium conditions for a desirable lifestyle.

DESCRIPTION OF GSMI :

GSMI (Geology & Sustainable Mining institute) aims to strengthen its industrial partnerships within and beyond Morocco and Africa by adopting an integrated and sustainable strategic vision of R&D and training. The institute focuses on various aspects of the mine lifecycle and aims to provide significantly higher added value. In addition to conventional mineral resources R&D, GSMI places emphasis on developing the mine of the future, which includes areas such as geo-mineralogy of mineral resources, circular economy, resource governance, sustainable management of water in mining, and integrated management of mine discharges.

Furthermore, GSMI offers several state-of-the-art R&D platforms that are at the forefront of science and technology. These platforms serve as advanced research and development facilities for conducting cutting-edge research and exploring technological advancements in the field.

Position Overview

We are seeking a highly motivated Postdoctoral Fellow to join our dynamic team. you will be responsible for conducting research on climate variability assessment and hydrological modeling at the catchment scale. The selected candidate will engage in cutting-edge research that bridges the disciplines of climate science and hydrological modeling related to mine water management.

Key Responsibilities

  • Conduct advanced analysis of climate variability using a range of observational and modeled datasets to discern patterns, trends, and potential future scenarios.
  • Develop and refine hydrological model tailored for specific catchments, incorporating the nuances of local land use, geomorphology, and climatic influences.
  • Explore the use of advanced AI tools for climate and hydrological modeling.
  • Evaluate the potential impacts of climate change and variability on water resources, flood risk, and drought susceptibility within targeted catchments.
  • Contribute to writing comprehensive reports encompassing detailed analyses and conclusive results.
  • Communicate findings through the publication of peer-reviewed papers, presentations at conferences, and stakeholder engagement sessions.

Required Qualifications:

  • A Ph.D. in Climate Science, Hydrology, Environmental Science, or a related field.
  • Experience in machine learning or AI applications in hydro-climate studies.
  • Strong background with GIS tools and spatial analysis techniques.
  • Demonstrated expertise in climate variability assessment and the use of climate models.
  • Experience with hydrological modeling at catchment scale, and familiarity with modeling tools.
  • Proficient in statistical analysis and programming languages such as Python, R, or MATLAB.
  • Strong written and verbal communication skills with a record of publications in reputed journals
10

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