Research Associate (Remote Sensing of Water Quality)

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.

01/07/2026

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