Transient MODFLOW Model Developer Needed

3 days ago

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

About the Role

The University of Doha for Science and Technology (UDST) is seeking a highly motivated Postdoctoral Researcher to join its research team. As a Postdoctoral Researcher, you will contribute to the development of transient groundwater models that address Qatar's unique environmental challenges and support sustainable water resource management.

You will be responsible for designing, developing, and calibrating transient MODFLOW groundwater models using Python libraries (e.g., flopy), as well as applying machine learning techniques to enhance the accuracy of the models.

Key Responsibilities

  • Design, develop, and calibrate transient MODFLOW groundwater models using Python libraries (e.g., flopy).
  • Apply machine learning techniques to enhance the accuracy of the models, enabling automated updates based on new data inputs.
  • Collaborate on the integration of these transient groundwater models with the CWatM model, facilitating comprehensive and adaptive analysis of Qatar's water resources.
  • Manage large-scale, real-time data streams, ensuring data integrity and consistency across all modeling activities.
  • Conduct high-quality research, leading to publications in top-tier journals and presentations at international conferences.
  • Work closely with interdisciplinary research teams and external stakeholders, contributing to UDST's broader research goals in sustainable water management.

Requirements

  • Ph.D. in Hydrogeology, Hydrology, Environmental Engineering, or a related discipline, with a focus on transient groundwater modeling.
  • Technical Skills: Proficiency in Python programming and experience with MODFLOW model development, particularly in creating and calibrating transient models.
  • Machine Learning Expertise: Experience in machine learning algorithms application, with a focus on enhancing model accuracy and efficiency.
  • Hydrological Modeling: Preferred knowledge of the CWatM model or similar hydrological models.
  • Research Experience: A strong record of research achievements, including publications in peer-reviewed journals and presentations at scientific conferences.
  • Communication and Collaboration: Excellent written and oral communication skills, with the ability to work effectively in a multidisciplinary team environment.

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