Job Description
The Civil and Environmental Engineering Department at the United Arab Emirates University is seeking a highly motivated research assistant to contribute to an interdisciplinary research project focused on disaster risk management (DRM) using remote sensing (RS) and artificial intelligence (AI). The project aims to develop innovative methods for detecting, monitoring, and assessing natural and human-induced hazards (e.g., floods, earthquakes, wildfires, erosion) to support sustainable development and climate resilience, in alignment with the COP28 UAE Declaration on Climate. The research assistant should be knowledgeable of Remote Sensing and GIS techniques.
Minimum Qualification
An appropriate educational degree supplemented with documented evidence to support the following: • Collect, process, and analyze remote sensing datasets. • Develop and implement AI/ML models for hazard detection, risk assessment, and early warning systems. • Conduct geospatial analysis (GIS-based modeling, change detection, vulnerability mapping). • Review literature on disaster risk reduction (DRR), climate adaptation, and AI applications in geosciences. • Assist in writing research papers, reports, and presentations for conferences/journals. • Collaborate with researchers, government agencies, and stakeholders in the UAE and globally.

Preferred Qualification

• Bachelor’s/master’s degree in civil engineering, Geomatics, Geography, Environmental Science, Computer Science, Geophysics, or a related field. • Experience in remote sensing (e.g., Sentinel, Landsat, MODIS, SAR) and GIS software (ArcGIS Pro, QGIS, Google Earth Engine). • Programming skills (Python, R, or MATLAB) for geospatial data analysis. • Familiarity with machine learning frameworks (TensorFlow, PyTorch, scikit-learn). • Strong analytical and technical writing skills. • Ability to work independently and in a team. • Be adaptable and flexible to the continuous changes associated with research demands.

Close Date Kindly apply before the closing date.
17/09/202

Please refer the Job description for details