Ian McBrearty's lab in the Department of Earth, Environmental and Planetary Sciences is looking to hire a Postdoctoral Research Associate in the field of Machine Learning & Geophysics. The McBrearty ...
New
Ian McBrearty's lab in the Department of Earth, Environmental and Planetary Sciences is looking to hire a Postdoctoral Research Associate in the field of Machine Learning & Geophysics. The McBrearty ...
New
Ian McBrearty's lab in the Department of Earth, Environmental and Planetary Sciences is looking to hire a Postdoctoral Research Associate in the field of Machine Learning & Geophysics. The McBrearty ...
New
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Working within JPL's Planetary Science community, the appointee will collaborate with scientists developing next-generation asteroid survey capabilities and will contribute to research supporting ...
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Villanova University's Department of Astrophysics and Planetary Science invites applications for the Mendel postdoctoral research fellowship. The Mendel fellowship is a flagship postdoctoral ...
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Villanova University's Department of Astrophysics and Planetary Science invites applications for the Mendel postdoctoral research fellowship. The Mendel fellowship is a flagship postdoctoral ...
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Houston, TX · On-site
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This is a rare opportunity to apply high-level decision science to challenges at the frontier of planetary exploration, astrobiology, and human spaceflight. This position is 100% on site and in ...
Houston, TX · On-site
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This is a rare opportunity to apply high-level decision science to challenges at the frontier of planetary exploration, astrobiology, and human spaceflight. This position is 100% on site and in ...
$107K - $195K/yr
This is a rare opportunity to apply high-level decision science to challenges at the frontier of planetary exploration, astrobiology, and human spaceflight. This position is 100% on site and in ...
$107K - $195K/yr
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Long Beach, CA · On-site
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Villanova, PA · On-site
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Villanova University's Department of Astrophysics and Planetary Science invites applications for the NASA-sponsored postdoctoral research fellowship. A successful applicant will join Andrej Prša ...
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Villanova University's Department of Astrophysics and Planetary Science invites applications for the NSF-sponsored postdoctoral research fellowship. A successful applicant will join Andrej Prsa ...
Villanova, PA · On-site
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Villanova University's Department of Astrophysics and Planetary Science invites applications for the NSF-sponsored postdoctoral research fellowship. A successful applicant will join Andrej Prsa ...
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Stanford University is inviting applications for a tenure-track Assistant Professor in the Department of Earth and Planetary Sciences, focusing on the geology and mechanics of rocks. The ideal ...
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Quick apply
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Description The Department of Earth and Planetary Sciences (EPS) at Yale University invites applications for a tenure-track appointment at the assistant professor level in the geosciences, with a ...
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The Department of Earth and Planetary Sciences ( at Stanford University and the Stanford Doerr School of Sustainability invite applications for a tenure-track Assistant Professor in the geology and ...
Palo Alto, CA · On-site
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The Department of Earth and Planetary Sciences ( at Stanford University and the Stanford Doerr School of Sustainability invite applications for a tenure-track Assistant Professor in the geology and ...
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1% of jobs
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7% of jobs
$67.2K is the 25th percentile. Wages below this are outliers.
$59.4K - $70.5K
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17% of jobs
The median wage is $82.4K / yr.
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A Planetary Scientist studies planets, moons, asteroids, and other celestial bodies to understand their composition, atmospheres, geology, and potential for life. They use data from telescopes, spacecraft, and simulations to analyze planetary systems. Their work helps answer fundamental questions about the formation and evolution of planets, both in our solar system and beyond. Planetary scientists often collaborate with space agencies like NASA or ESA and may work in research institutions, universities, or private space companies.
Planetary Scientists generally split their time between analyzing data from spacecraft or telescopes, conducting computer simulations, and writing research reports or academic papers. Many work within academic institutions, research centers, or government agencies and collaborate regularly with other scientists and engineers on multi-disciplinary projects. Fieldwork may occasionally be involved, such as collecting meteorite samples or participating in workshops and conferences. The role requires both independent research and teamwork, offering a dynamic environment for those who enjoy both detailed analysis and collaborative discovery.
A Planetary Scientist typically holds an advanced degree in planetary science, astronomy, geology, or a related field, with strong analytical, research, and quantitative skills. Familiarity with scientific programming languages (such as Python or MATLAB), remote sensing tools, planetary data analysis software, and possibly experience operating telescopes or spacecraft data systems is common. Standout soft skills include effective communication, teamwork, and problem-solving abilities to collaborate on research and present findings. These competencies are crucial for conducting rigorous research, advancing scientific knowledge, and contributing to collaborative projects in the field.
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$65K/yr
Full-time
Posted 3 days ago
New
8.2
Based on 18 frontline employees who took The Breakroom Quiz
150th of 622 rated colleges and universities
Position Summary
Dr. Ian McBrearty's lab in the Department of Earth, Environmental and Planetary Sciences is looking to hire a Postdoctoral Research Associate in the field of Machine Learning & Geophysics.
The McBrearty Lab sits at the intersection of machine learning and physics, focusing on developing data-driven techniques for earthquake monitoring, processing data from large seismic networks, and developing neural-surrogate emulations of PDEs governing tectonic and volcanic processes.
The ideal candidate will hold a Ph.D. in a quantitative field with strong Python and deep learning skills to build data-driven tools for earthquake detection and geophysical forecasting. They will be responsible for developing graph neural networks (GNNs), advancing PDE emulation methods, publishing high-impact research, and utilizing high-performance computing resources. Review of applications begins September 1, 2026, and will continue until the position is filled. Informal inquiries can be sent to Dr. Ian McBrearty at im76@rice.edu.
Workplace Requirements:
On campus position: This position is exclusively on-site, necessitating all duties to be performed in-person in Houston, Texas. Per Rice policy 440, work arrangements may be subject to change.
*Exempt (salaried) positions under FLSA are not eligible for overtime.
This position is funded by a grant, soft and/or restricted funds. Continued employment is contingent on the renewal of funding.
Proposed Salary: $65,000
Essential Functions
Develops and deploys machine learning models (specifically graph neural networks) to process large, spatially irregular seismic datasets and advance neural-surrogate emulations of PDEs governing geophysical processes
Documents, analyzes, and maintains research data
Publishes and presents research findings
Supports project management and collaboration across institutions or disciplines
Performs all other duties as assigned
Required Qualifications and Skills
Ph.D. in Geophysics, Computer Science, Data Science, Applied Mathematics, or a related quantitative field
Strong Python programming skills and practical experience with deep learning frameworks (e.g., PyTorch, TensorFlow) for scientific data analysis
Excellent verbal and written communication skills, as well as oral presentation skills
Organization and time management skills
Knowledge of modern research methods, data collection, and analyses
Ability to write scholarly papers based on ongoing research in order to submit them to journals for publication
Able to work in a collaborative environment
Able to work independently and professionally with minimal supervision and direction
Preferred Qualifications
Experience with Graph Neural Networks (GNNs) or physics-informed machine learning (PINNs).
Background in seismological software packages (e.g., ObsPy) and large-scale, high-performance computing (HPC) data processing.
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 facstaffada@rice.edu for support.
If you have any additional questions, please email us at jobs@rice.edu . Thank you for your interest in employment with Rice University
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