ORAU · 1 week ago
Quantum Machine Learning and Quantum Graph Neural Networks for Enhanced Wildfire and Air Quality Management
ORAU is involved with the NASA Postdoctoral Program, offering research opportunities to advance NASA's missions. The role focuses on leveraging quantum computing and machine learning techniques to enhance wildfire monitoring and air quality management using NASA's satellite observations.
Universities
Responsibilities
Integrate Quantum Graph Neural Networks (QGNNs) and quantum-assisted neural networks with classical methods like Knowledge Graphs and Geometric Deep Learning (GDL) to enhance wildfire smoke plume detection
Evaluate quantum computing's accuracy and speed advantages and compare results with classical approaches
Utilize advanced quantum hardware to explore the scalability and precision of quantum methods for processing complex, high-dimensional datasets
Deliver open-source code, comparative analyses, and peer-reviewed publications contributing to NASA’s Earth science objectives
Qualification
Required
Ph.D. in Computer Science, Physics, Environmental Science, Atmospheric Science, or a related field, with a focus on quantum computing, machine learning, or spatiotemporal data analysis
Proficiency in quantum computing frameworks such as IBM Qiskit or similar platforms
Strong knowledge of machine learning techniques, including Graph Neural Networks (GNNs) and Geometric Deep Learning (GDL)
Experience with handling large-scale spatiotemporal datasets and satellite data
Familiarity with Knowledge Graphs and multi-variable optimization methods
Expertise in Python and other relevant programming languages
Citizenship: LPR or U.S. Citizen
Degree: Doctoral Degree
Preferred
Experience in cloud-based or high-performance computing environments
Company
ORAU
ORAU provides innovative scientific and technical solutions to advance research and education, protect public health and the environment and strengthen national security.
Funding
Current Stage
Late StageRecent News
The Motley Fool
2025-12-05
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