Published: 03 Nov 2025 20 views
Griffith University is seeking a PhD candidate for a research project aimed at developing a real-time, scalable monitoring system that leverages diffusion-based stream models and complex event processing to detect and explain anomalous methane (CH?) emissions using satellite and sensor data. The candidate will design a novel AI framework that integrates remote sensing time series (e.g. from Sentinel-5P, GHGSat) with multi-modal data streams—including weather, land use, and industrial activity—to identify high-risk events such as leaks from agricultural zones, landfills, or fossil fuel infrastructure. A key focus will be on interpretability and operational readiness, ensuring the system can support timely responses by environmental regulators, industry, and policy-makers. Success in this role requires collaboration with industry partners, reporting weekly throughout the project’s duration.
The selection of applicants for higher degree research scholarships at Griffith University considers academic merit and research background. To be successful in this role, you must demonstrate strong analytical skills, the ability to work independently and collaboratively, and a commitment to meeting research deadlines. Evidence of a passion for environmental sustainability and advanced data analytics is essential, along with a strong desire to contribute to innovative research in greenhouse gas emission tracking using hyperspectral satellite imagery and cutting-edge visualisation and analytical methods.
All expressions of interest must be submitted to [email protected] containing:
The preferred applicant will then be invited to apply for the program and scholarship on-line.
For project related enquiries please contact: Associate Professor Jun Jo
For administration enquiries please contact: Griffith Graduate Research School
For more information, kindly visit Griffith University scholarship webpage.
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