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Planetary Scientist Jobs (NOW HIRING)

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 ...

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How much do planetary scientist jobs pay per year?

As of Aug 23, 2026, the average yearly pay for planetary scientist in the United States is $90,961.00, according to ZipRecruiter salary data. Most workers in this role earn between $68,000.00 and $100,000.00 per year, depending on experience, location, and employer.

What is a planetary scientist?

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.

What are the typical daily tasks and work environment for a planetary scientist?

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.

What are the key skills and qualifications needed to thrive as a planetary scientist, and why are they important?

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.

Are planetary scientists in demand?

Planetary scientists are in moderate demand, primarily within government agencies, research institutions, and space agencies like NASA and ESA. Employment opportunities depend on research funding, project availability, and advanced skills in data analysis, remote sensing, and planetary geology.

Do you need a PhD to be a planetary scientist?

A PhD is typically required to become a planetary scientist, especially for research, academic, or advanced positions. Bachelor's and master's degrees can qualify individuals for entry-level roles or technical positions, but a PhD is often necessary for independent research and higher-level responsibilities.

What do you do as a planetary scientist?

A planetary scientist studies planets, moons, and other celestial bodies to understand their composition, geology, and atmospheres. They analyze data from telescopes, space missions, and laboratory experiments, often using specialized software and scientific methods to conduct research and contribute to our knowledge of the solar system and beyond.
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Infographic showing various Planetary Scientist job openings in the United States as of August 2026, with employment types broken down into 75% Full Time, and 25% Part Time. Highlights an 91% In-person, and 9% Remote job distribution, with an average salary of $90,961 per year, or $43.7 per hour.

Postdoctoral Associate - Earth Environmental Planetary Sciences

Rice University

Houston, TX

$65K/yr

Full-time

Posted 3 days ago

New


Rice University rating

8.2

Company rating: 8.2 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

150th of 622 rated colleges and universities


Job description

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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