Middlesex University Dubai
Dubai's Largest UK University — 5-Star KHDA Rated
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Looking for Postdoctoral Researcher jobs in Dubai? Middlesex University Dubai is hiring a Postdoctoral Researcher to support the project “AI for Urban Heat & Human Resilience: Smarter Risk Intelligence for a Future-Ready Dubai.” Additionally, this full-time hybrid role offers an excellent opportunity for early-career researchers to contribute to a high-impact climate resilience project.
About the Role
The Postdoctoral Researcher will play a central role in conducting advanced research on AI-powered land surface temperature modeling, heat vulnerability assessment, and spatial decision-support systems. Furthermore, the position involves both desk-based research including systematic literature review and methodological design, as well as field-based implementation such as ground-truth validation campaigns and stakeholder engagement. Moreover, this 12-month full-time role is aligned with the Dubai Urban Master Plan 2040 and UAE Net Zero 2050 goals.
Key Responsibilities for Postdoctoral Researcher AI for Urban Heat at Middlesex University Dubai
- Conduct comprehensive review of AI applications in urban heat mapping and remote sensing-based LST estimation
- Develop and implement machine learning models for high-resolution Land Surface Temperature estimation using multi-source satellite data
- Generate seasonal and diurnal LST maps forming a dynamic thermal atlas of Dubai
- Design and execute field-based climatology campaigns across representative urban typologies
- Deploy and calibrate temperature and humidity sensors for ground-truth validation
- Conduct mobile thermal imaging and validate satellite-based LST outputs
- Contribute to designing Dubai’s first spatially calibrated Heat Vulnerability Index
- Support delivery of stakeholder workshops and training sessions
- Contribute to the design and implementation of a web-based GIS dashboard
- Contribute to academic publishing in peer-reviewed journals
Requirements
- PhD completed or near completion in Computer Science, Data Science, Climate Science, GIS, Environmental Engineering, Urban Informatics, or related fields
- Demonstrated experience in AI/ML modeling and geospatial analytics
- Experience working with satellite remote sensing datasets
- Strong publication record in peer-reviewed journals
- Proficiency in Python or R for machine learning and spatial analysis
- Experience with GIS platforms such as ArcGIS, QGIS, or Google Earth Engine
- Strong quantitative skills in statistical modeling and index construction