Postdoctoral Researcher in Groundwater Modelling

2 weeks ago

Doha, Baladīyat ad Dawḩah, Qatar Polytechnicpositions Full time
Postdoctoral Researcher in Groundwater Modelling & Machine LearningUniversity of DohaQatar

ID 2024-3867

Category Academic

Position Type Temporary

Expected Start Date 1/1/2025

The Applied Research, Innovation, and Economic Development Directorate at UDST invites applications for the position of Postdoctoral Researcher. This role is integral to the development of transient groundwater models that address Qatar's unique environmental challenges and support sustainable water resource management.

Your Commitment

The successful candidate will play a crucial role in developing and implementing advanced, transient MODFLOW groundwater models specifically designed for Qatar's aquifer systems. This position requires strong expertise in Python programming, machine learning, and hydrological modeling. The researcher will also be responsible for integrating these models with the CWatM hydrological model to support comprehensive and adaptive environmental analyses, ensuring the accurate representation of both groundwater quantity and quality.

Key Responsibilities:

  • Hydrological Model Development: Design, develop, and calibrate transient MODFLOW groundwater models using Python libraries (e.g., flopy).
  • Machine Learning Integration: Apply machine learning techniques to enhance the accuracy of the models.
  • Hydrological Model Integration: Collaborate on the integration of these transient groundwater models with the CWatM model.
  • Data Management and Quality Assurance: Manage large-scale, real-time data streams, ensuring data integrity.
  • Research and Publication: Conduct high-quality research, leading to publications in top-tier journals.
  • Collaboration: Work closely with interdisciplinary research teams and external stakeholders.

Qualifications:

  • Ph.D. in Hydrogeology, Hydrology, Environmental Engineering, or a related discipline.
  • Technical Skills: Proficiency in Python programming and experience with MODFLOW model development.
  • Machine Learning Expertise: Experience in machine learning algorithms application.
  • Hydrological Modeling: Preferred knowledge of the CWatM model or similar models.
  • Research Experience: A strong record of research achievements.
  • Communication and Collaboration: Excellent written and oral communication skills.

Preferable Research Experiences:

  • Publication Record: A good history of publications in relevant, high-impact journals.
  • Interdisciplinary Collaboration: Experience working within multidisciplinary research teams.
  • Data Analysis Proficiency: Strong skills in managing and analyzing transient hydrogeological data.
  • Technical Expertise: Demonstrated hands-on experience in laboratory and fieldwork.

Skills:

The required skills for this position include extensive experience in developing and calibrating transient MODFLOW groundwater models, strong proficiency in Python, and a demonstrated ability to apply machine learning techniques. The candidate must be skilled in integrating and managing real-time hydrogeological data.

Application procedure

The application should be in English and sent electronically as PDF files, with a maximum size of 10 MB each.

  1. CV: (Please name the document as: CV, Surname, Ref. number) including:
  • A complete list of publications
  • Previous research experiences
  • Two references who can be approached to write letters of reference/recommendation
Cover letter: (Please name the document as: Personal letter, Family name, Ref. number) 1-3 pages where you:
  • Introduce yourself
  • Describe your previous research fields and main research results
  • Relate your qualifications, experience, and skills with the job requirements
  • Describe your future goals and future research focus
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