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Research Associate (Remote Sensing of Water Quality)

United Arab Emirates University, Department of Family MedicineAbu Dhabi, UAE3 days agoEntry
Entryfulltime

Skills

AssociateQualityRemote

About This Role

Job Description

  • Prof.
  • Mohamed Hamouda’s Integrated Water Cycle Lab invites applications for a research associate starting September 2026 to work on a research project in the area of Remote Sensing of Water Quality.
  • The role focuses on:
  • Processing and analysis of multi-sensor satellite data (e.g., MODIS, Sentinel, Landsat, PRISMA)
  • Integration of remote sensing and in-situ datasets
  • Development and implementation of machine learning and physics-informed models
  • Assisting in model validation, visualization, and development of early warning tools
  • Preparing technical reports, journal publications, and project documentation
  • Coordinating with research partners and supporting field campaigns

Minimum Qualification

  • Master’s degree in Environmental Engineering, Civil Engineering, Remote Sensing, Data Science, or a related field (PhD preferred)
  • Minimum 1–3 years of research or industry experience in a relevant field
  • Experience in remote sensing data processing and GIS
  • Strong programming skills in Python, MATLAB, or R
  • Experience with machine learning techniques and data analysis
  • Strong technical writing and communication skills

Preferred Qualification

  • Experience with water quality modeling or oceanographic data
  • Familiarity with satellite platforms (MODIS, Sentinel, Landsat, hyperspectral data)
  • Experience with deep learning frameworks (e.g., TensorFlow, PyTorch)
  • Knowledge of physics-informed machine learning or environmental modeling
  • Experience working on projects in arid or coastal environments (UAE/Gulf region preferred)

Special Instructions to Applicant

  • Detailed CV
  • Cover letter outlining research experience
  • Copies of academic transcripts
  • Contact details of at least two referees

Close Date Kindly apply

before

the closing date.

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