Middlesex University Dubai
Dubai's Largest UK University — 5-Star KHDA Rated
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is hiring a Graduate Research Assistant AI for Urban Heat at Middlesex University Dubai in Dubai, UAE. This is a full-time position.
Looking for Graduate Research Assistant jobs in Dubai? Middlesex University Dubai is currently hiring a Graduate Research Assistant to support a climate resilience initiative focused on developing AI-driven tools for urban heat monitoring and decision support. Additionally, this hybrid role combines technical research, lab development, and event coordination in one of Dubai’s leading universities.
About the Role
The Graduate Research Assistant (GRA) will support a groundbreaking project on climate resilience, focusing on AI-driven tools for urban heat monitoring, vulnerability assessment, and decision support in Dubai. Furthermore, the role involves establishing and operationalizing the AI for Resilient Cities Lab, a new interdisciplinary research and innovation space. Moreover, this position is ideal for candidates holding a Bachelor’s or Master’s degree in Computer Science, Data Science, GIS, Environmental Science, Engineering, or related fields.
Key Responsibilities for Graduate Research Assistant AI for Urban Heat at Middlesex University Dubai
- Assist in deploying and monitoring field sensors during ground-truth validation campaigns
- Process and analyze satellite datasets (MODIS, Sentinel, Landsat) for Land Surface Temperature mapping
- Support machine learning model development for urban heat analysis and spatial risk modelling
- Contribute to data cleaning, feature engineering, and geospatial visualization tasks
- Assist in developing components of the Heat Vulnerability Index (HVI)
- Coordinate the physical setup of the AI for Resilient Cities Lab including equipment and computing infrastructure
- Develop lab documentation, safety guidelines, workflow templates, and onboarding materials
- Support the creation of demonstration dashboards and visualization screens for stakeholders
- Plan and coordinate urban heat and climate resilience hackathons, workshops, and trainings
- Prepare presentation materials, lab demonstrations, and technical walkthroughs
Requirements
- Currently pursuing or completed Master’s degree in Computer Science, Data Science, GIS, Environmental Science, Engineering, Urban Informatics, or related fields
- Proven track record of academic excellence
- Proficiency in Python or R for data analysis
- Basic knowledge of machine learning concepts
- Familiarity with GIS tools such as ArcGIS, QGIS, or Google Earth Engine
- Experience working with datasets and dashboards
- Basic understanding of remote sensing is an advantage