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PhD Opportunity in Digital Twin-Driven Multi-Agent Coordination for Autonomous Solar Farm Maintenance RMIT University in Australia
Degree Level
PhD
Field of study
Computer Science
Funding
The project provides access to research infrastructure across BITS Pilani and RMIT University, including UAV platforms, HPC resources, and potential cloud computing resources through the RMIT RACE Hub. No stipend or tuition details are stated.
Deadline
Oct 10, 2026
Country
Australia
University
RMIT University

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About this position
PhD opportunity in Digital Twins, Robotics, Multi-Agent Systems, Computer Vision, Machine Learning, and Model-Based Systems Engineering (MBSE) for an autonomous solar farm maintenance project.
This project, BRJP26100104, is part of the BITS Pilani–RMIT University Joint PhD Program and focuses on building a scalable, autonomous multi-drone system for precision cleaning and inspection of large-scale solar farms. The research combines digital twin modelling (including NVIDIA Omniverse), MBSE, decentralised coordination, mission planning, path optimisation, collision avoidance, and vision-based anomaly/soiling detection using approaches such as YOLO and custom CNNs.
Students will work across BITS Pilani and RMIT University, with access to UAV platforms, HPC resources, and possible cloud computing support through the RMIT RACE Hub. The project also includes simulation-to-real validation using UAV hardware available through the BITS research team.
Ideal applicants should be interested in or have experience with robotics and autonomous systems, UAVs, multi-agent systems, digital twins, simulation platforms, computer vision, machine learning, control, optimisation, and path planning. The post does not mention stipend, tuition coverage, or language-test waivers.
Interested candidates should apply via the project page, search for MBSE, and select BRJP26100104. The post asks applicants to apply as soon as possible; the stated deadline is 10 Oct 2026.
Funding details
The project provides access to research infrastructure across BITS Pilani and RMIT University, including UAV platforms, HPC resources, and potential cloud computing resources through the RMIT RACE Hub. No stipend or tuition details are stated.
What's required
Motivated PhD candidates with backgrounds or interests in robotics and autonomous systems, multi-agent systems, UAVs and drone technologies, digital twins and simulation, model-based systems engineering, computer vision and machine learning, control, optimisation or path planning, and NVIDIA Omniverse/Isaac Sim or related simulation platforms. The post does not specify degree prerequisites, GPA, or language-test requirements.
How to apply
Visit the linked project page, search for the keyword “MBSE,” and locate project BRJP26100104. Follow the website instructions to submit the application as soon as possible.
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