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