Research Associate (Remote Sensing of Water Quality)
Skills
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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