Research Assistant (RA)

Job Description

About the Rashid-Twin Project
The Rashid-Twin Project is an ambitious research initiative aimed at developing a Digital Twin of the Rashid Rover, the first Arab-built lunar spacecraft, to enhance space exploration capabilities using Artificial Intelligence (AI), Machine Learning (ML), and Metaverse integration. The project is led by a multidisciplinary team of experts at the University of Dubai, in collaboration with MBRSC (Mohammed Bin Rashid Space Centre) and Macquarie University.

Role Overview
The Research Assistant (RA) will support the development, implementation, and validation of AI-powered digital twin models for lunar exploration. The position is well-suited for candidates with expertise in Artificial Intelligence, Machine Learning, Digital Twin technologies, and Space Systems Engineering. The RA will work closely with faculty members, industrial collaborators, and external advisors to contribute to high-impact research, publications, and technological advancements.

Key Responsibilities
• AI and Digital Twin Development: Assist in designing and implementing ML-based predictive models for simulating the Rashid Rover’s behavior and environment.
• Data Collection and Analysis: Process and analyze real-world sensor data from space rovers to optimize machine learning models.
• Anomaly Detection & Performance Optimization: Implement AI-driven anomaly detection algorithms to improve rover performance and reliability.
• Simulation and Validation: Develop and validate the Digital Twin framework through simulations using real-time and historical space mission data.
• Metaverse Integration: Contribute to the development of an interactive 3D environment to visualize and interact with the digital twin model.
• Research and Publications: Prepare research papers, technical reports, and presentations for high-impact journals and international conferences (IEEE, IAC, etc.).
• Collaboration with Industrial Partners: Work with MBRSC and other key stakeholders to ensure real-world applicability of the research outcomes.
• Support Project Management: Assist in coordinating research activities, organizing project meetings, and preparing progress reports.

Required Qualifications
• Educational Background:
o Master’s or PhD (preferred) in Computer Science, Artificial Intelligence, Robotics, Space Systems Engineering, or a related field.
• Technical Skills:
o Proficiency in Python, TensorFlow, PyTorch, and AI frameworks for deep learning and machine learning applications.
o Experience with Digital Twin modeling and simulation software (e.g., Unity, Unreal Engine, MATLAB Simulink).
o Familiarity with space systems, robotic simulation, and AI-driven predictive analytics.
o Knowledge of sensor fusion techniques (LIDAR, radar, computer vision) and autonomous navigation in space exploration.
• Soft Skills:
o Strong problem-solving skills, research mindset, and ability to work independently.
o Excellent technical writing and communication skills for preparing research papers and reports.
o Ability to collaborate with an interdisciplinary team of AI researchers, engineers, and space industry professionals.

Preferred Qualifications
• Hands-on experience with NASA’s Open Source Rover (OSR), ESA’s ExoMars Rover, or similar robotics projects.
• Background in metaverse development and VR/AR integration for scientific visualization.
• Previous research publications in AI, Digital Twins, or Space Systems.

Why Join Us?
• Work on a groundbreaking space project in collaboration with the UAE Space Program (MBRSC).
• Gain hands-on experience in AI-driven space exploration technologies.
• Access state-of-the-art research facilities and computational resources.
• Publish in top-tier journals and present at leading international conferences.
• Competitive salary and opportunities for career growth in academia and industry.

Note : Contract Duration- 12 months (Non renewable)