Postdoctoral Associate - Earth Environmental Planetary Sciences
Role Overview
The MUSE (Multimodal AI for Earth System Discovery) research cluster at Rice University—led by a cross-departmental faculty team (Drs. Noemi Vergopolan, Arlei Silva, Ian McBrearty and Andrew Hoffman) and associates (Sylvia Dee, Avantika Gori, Jonathan Ajo-Franklin, and Guha Balakrishnan)—is seeking a Postdoctoral Research Associate to pioneer multi-domain Graph Neural Networks (GNNs) and Foundation Models for Earth system modeling, state estimation, and forecasting.
Earth observations are inherently irregular, multi-scale, and heterogeneous—ranging from river networks and seismic stations to InSAR satellite data and subglacial sensors.
The goal of this position is to develop reusable, scale-adaptive, graph-based foundation architectures capable of learning unified representations across diverse Earth science testbeds, including hydrology, flood dynamics, ice-sheet/aquifer mechanics, and earthquake processes.
Rather than treating AI as a black box, this role focuses on developing transferable, physics-informed models that infer hidden Earth states, discover governing relationships, and quantify predictive uncertainties across interconnected Earth domains.
The position is for an initial one-year term, renewable for up to two to three years, subject to performance and funding availability.
Full Job Posting
Preferred Qualifications
- Experience working with spatial-temporal or irregularly sampled physical data (e.g., remote sensing, streamflow networks, seismic arrays, InSAR, terrain data).
- Experience with Physics-Informed Neural Networks (PINNs), neural operators (e.g., FNO, DeepONet), or neural surrogate modeling for physical processes.
- Background in Uncertainty Quantification (UQ) or hybrid machine learning frameworks combining data-driven models with physical priors.
- High-performance computing (HPC) and/or cloud computing with expertise in distributed training (e.g., CUDA, multi-GPU training).
What We Offer
- Interdisciplinary Mentorship: Co-mentorship from a collaborative faculty team spanning ML, GNN theory, remote sensing, and geophysics.
- World-Class Computing: Full access to Rice’s High-Performance Computing (HPC) clusters and specialized GPU acceleration nodes.
- Competitive Compensation: Competitive salary and full Rice University benefits package.
- Career Development: Dedicated mentorship and career guidance tailored toward pathways in academia or industry research labs.
- To Apply
- Please submit the following application materials via the Rice University Application Portal. Combine all required materials into a single PDF file and upload it under the section labeled “CV/Resume.”
- Cover Letter (highlighting relevant research experience with GNNs, foundation models, or Earth science data)
- Curriculum Vitae (CV)
- Research Statement (1–2 pages detailing research accomplishments and future interests)
- Contact Information for 3 Professional References
- Review of applications begins on December 1st, 2026, and will continue until the position is filled. Informal inquiries can be sent to Rice EEPS ([email protected]) or cluster faculty members.
- Rice University HR | Benefits: https://knowledgecafe.rice.edu/benefits
- Rice Mission and Values: Mission and Values | Rice University
- Rice University is committed to ensuring Equal Employment Opportunity and welcoming the fullness of diversity into our candidate pools. Rice considers qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national or ethnic origin, genetic information, disability, or protected veteran status. Rice also provides reasonable accommodations to qualified persons with disabilities. If an applicant requires a reasonable accommodation for any part of the application or hiring process, please get in touch with Rice University’s Human Resources Office via email at [email protected] for support.
- If you have any additional questions, please email us at [email protected]. Thank you for your interest in employment with Rice University.
About 27560-Bioengineering
Private nonprofit research university serving undergraduate and graduate students through education and research in Houston, Texas.
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