Research Assistant Remote Sensing And GIS

United Arab Emirates University, Department of Family Medicine; Abu Dhabi; Remote; AED 120,000 - 160,000; Full time

Job summary

A prominent educational institution in Abu Dhabi is seeking a research assistant to support an interdisciplinary project on disaster risk management using remote sensing and AI techniques. Candidates should have a degree in a related field and knowledge in data analysis, GIS, and programming. This opportunity involves collaborative research and offers the chance to contribute to sustainability and climate resilience initiatives.

Qualifications

• Knowledge in remote sensing datasets and GIS-based modeling.
• Experience with AI/ML models for hazard detection.
• Strong analytical and technical writing skills.

Responsibilities

• Collect, process, and analyze remote sensing datasets.
• Develop AI/ML models for risk assessment.
• Assist in writing research papers and reports.

Skills

Remote Sensing and GIS techniques

Data analysis

Programming (Python, R, MATLAB)

Machine learning (TensorFlow, PyTorch)

Education

Bachelor’s/master’s degree in relevant field

Tools

ArcGIS Pro

QGIS

Google Earth Engine

Job description

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.

17/09/2025

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