Groundwater Modeling Expert Wanted
3 days ago
Job Summary
We are seeking a highly skilled Postdoctoral Researcher to join our team at the University of Doha for Science and Technology (UDST). The successful candidate will contribute to the development of transient groundwater models that support sustainable water resource management in Qatar.
The ideal candidate will have a strong background in hydrogeology, hydrology, or environmental engineering, with expertise in transient groundwater modeling and machine learning techniques.
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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