Graduate Research Assistant (GRA)
Job Description
About the Project
Project: SYNERGY-PD – AI-Powered Digital Twin for Parkinson’s Disease Diagnostics
The SYNERGY-PD Project is a 3-year initiative developing an AI-enhanced digital twin platform for neurodegenerative disease diagnostics. Funded by the Dubai Future Foundation, it unites neuroscience, data science, and AI to build a novel clinical decision support system.
Role Overview
The GRA will assist in early-stage research activities across literature synthesis, data annotation, and system testing. This role suits graduate students eager to contribute to impactful biomedical AI projects.
Key Responsibilities
- Perform literature reviews on biomarkers, agentic AI, and digital twin technologies.
- Annotate and preprocess data from clinical partners for model training.
- Validate prototype dashboards and user interfaces for digital twin modules.
- Support academic dissemination through poster development and paper drafts.
Required Qualifications
Educational Background:
• Enrolled in a Master’s or PhD program in Biomedical Engineering, Computer Science, or related fields.
Technical Skills:
• Familiarity with AI/ML basics and scientific writing.
• Experience using Excel, Python, or data annotation tools.
• Basic understanding of neuroscience or healthcare datasets is a plus.
Soft Skills:
• Detail-oriented with strong documentation habits.
• Effective communicator and team collaborator.
Why Join Us?
- Contribute to a high-impact national AI-health project.
• Gain hands-on experience in biomedical data and AI tool validation.
• Develop your academic profile through publications and conference participation.
Application Details
Applications remain open until filled.
Submit to the College of Engineering and IT on the website of the University of Dubai:
• CV, cover letter, academic transcripts, and 2 references.
Start Date: As soon as possible
Location: University of Dubai, Academic City, Dubai, UAE
