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Graduate Research Assistant - AI for Urban Heat & Human Resilience: Smarter Risk Intelligence for a Future-Ready Dubai

Middlesex University Dubai
Dubai, UAE
contract
Entry
2 months ago
Machine LearningVAT
Free

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Job Description

We are seeking a motivated and technically skilled

Graduate Research Assistant (Gra)

to support the project on climate resilience initiative focused on developing AI-driven tools for urban heat monitoring, vulnerability assessment, and decision support in Dubai.

The GRA will play a central role not only in research activities but also in establishing and operationalizing the AI for Resilient Cities Lab, a new interdisciplinary research and innovation space dedicated to climate intelligence and smart urban systems.

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.

The role combines technical research, lab development, student engagement, and event coordination.

1. Research Support & Technical Development

  • Assist in deploying and monitoring field sensors during ground-truth validation campaigns.
  • Assist in processing and analyzing satellite datasets (MODIS, Sentinel, Landsat) for Land Surface Temperature (LST) 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).
  • Support preparation of technical reports, research documentation, and datasets.
  • 2.
  • Establishment of the AI for Resilient Cities Lab
  • A major responsibility of this role will be supporting the setup and operationalization of the AI for Resilient Cities Lab, including:
  • Coordinating the physical setup of the lab space (equipment arrangement, sensor setup, computing infrastructure, display systems).
  • Assisting in procurement tracking and installation of hardware (e.g., environmental sensors, GPUs, thermal cameras if applicable).
  • Developing lab documentation, safety guidelines, workflow templates, and onboarding materials.
  • Supporting the creation of demonstration dashboards and visualization screens for visitors and stakeholders.
  • Maintaining lab datasets, servers, and research repositories.
  • Plan and coordinate urban heat and climate resilience hackathons, workshop, and trainings.
  • Prepare presentation materials, lab demonstrations, and technical walkthroughs.

Education & Experience

  • 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
  • Interest in climate resilience, urban sustainability, and AI applications.

Technical Skills

  • Proficiency in Python or R for data analysis.
  • Basic knowledge of machine learning concepts.
  • Familiarity with GIS tools (ArcGIS, QGIS, Google Earth Engine preferred).
  • Experience working with datasets and dashboards.
  • Basic understanding of remote sensing is an advantage.

Compensation

A fixed stipend will be provided, corresponding to the qualifications and experience.

Application Process

  • Interested candidates should submit the following:
  • A detailed CV highlighting academic and research experiences.
  • A cover letter explaining your interest in the position and relevant skills.
  • Two academic or professional references
  • Any evidence of experience to support the application
  • Academic transcripts
  • Portfolio/GitHub (if available)
  • Applicant should be based in the UAE and should have a valid residence visa

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