Postdoctoral Researcher Position in Groundwater Modeling

3 days ago

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

Overview

The University of Doha for Science and Technology (UDST) invites applications for a Postdoctoral Researcher position in the field of groundwater modeling. As a leading institution in applied and experiential learning, UDST seeks an exceptional candidate to join its research team.

This role is integral to the development of transient groundwater models that address Qatar's unique environmental challenges and support sustainable water resource management.

The successful candidate will play a crucial role in developing and implementing advanced, transient MODFLOW groundwater models specifically designed for Qatar's aquifer systems. These transient models will dynamically simulate groundwater flow, levels, and quality, responding to temporal changes in input data and environmental conditions.

Responsibilities

  • Develop and calibrate transient MODFLOW groundwater models using Python libraries (e.g., flopy), ensuring accurate and responsive simulations of Qatar's aquifer systems.
  • 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.

Qualifications

  • 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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