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Groundwater Model Development and Optimization

1 week ago

Doha, Baladīyat ad Dawḩah, Qatar University of Doha for Science and Technology UDST Full time

This position requires a highly motivated and experienced researcher to join our team at University of Doha for Science and Technology (UDST).

Job Description

The successful candidate will be responsible for developing and calibrating transient MODFLOW groundwater models, integrating machine learning techniques, and collaborating on the integration of these models with the CWatM model.

Key Responsibilities
  • Model Development and Calibration: Design, develop, and calibrate transient MODFLOW groundwater models using Python libraries (e.g., flopy), ensuring accurate and responsive simulations of Qatar's aquifer systems.
  • Machine Learning Integration: Apply machine learning techniques to enhance the accuracy of the models, enabling automated updates based on new data inputs.
  • Data Management and Quality Assurance: Manage large-scale, real-time data streams, ensuring data integrity and consistency across all modeling activities.