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Postdoctoral Geophysics Jobs (NOW HIRING)

Whoi

Postdoctoral Investigator

Clark, SD · On-site

$68K - $75K/yr

Job Summary G&G is seeking a Postdoctoral Investigator in advanced controlled-source seismic ... Geophysical characterization of magmatic/hydrothermal processes at mid-ocean ridges. * Geophysical ...

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How much do postdoctoral geophysics jobs pay per year?

As of Sep 14, 2026, the average yearly pay for postdoctoral geophysics in the United States is $59,022.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,000.00 and $66,500.00 per year, depending on experience, location, and employer.

What is a postdoctoral geophysics?

A Postdoctoral Geophysics job is a research-focused position for individuals who have recently earned a Ph.D. in geophysics or a related field. It typically involves conducting independent or collaborative research on geophysical phenomena, analyzing data, and developing models or simulations. Postdocs often work in academic institutions, government agencies, or industry research labs. Their role may also include publishing findings, presenting at conferences, and mentoring students. The position is usually temporary, lasting from one to three years, and serves as a bridge to permanent research or faculty positions.

What are the key skills and qualifications needed to thrive in the postdoctoral geophysics position, and why are they important?

To thrive as a Postdoctoral Geophysics researcher, you generally need a PhD in geophysics or a related field, strong analytical skills, and a solid foundation in scientific research methods. Familiarity with geophysical data analysis software, programming languages like Python or MATLAB, and experience with field instrumentation are commonly required. Excellent problem-solving abilities, clear communication, and effective teamwork are critical soft skills for collaborating on multidisciplinary projects. These competencies ensure you can produce high-quality research, contribute to project goals, and adapt to the rapidly evolving demands of the field.

What are some common challenges faced by postdoctoral researchers in geophysics?

Postdoctoral researchers in geophysics often navigate challenges such as securing research funding, balancing independent research with collaborative projects, and adapting to new methodologies or technologies. The interdisciplinary nature of geophysics means you might work with diverse teams, including earth scientists, engineers, and computational experts, which can require strong communication and adaptability. Managing complex datasets and interpreting results within tight project timelines can also test your organizational skills. However, these challenges present excellent opportunities for professional growth, skill development, and networking within the scientific community.

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States with the most job openings for Postdoctoral Geophysics jobs include:

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Postdoctoral Geophysics jobs near you
Infographic showing various Postdoctoral Geophysics job openings in the United States as of September 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $59,022 per year, or $28.4 per hour.

Postdoctoral Associate - Earth Environmental Planetary Sciences

Houston, TX • On-site

Rice University
Colleges, Universities, and Professional Schools • 1 - 5K employees
Learn more about Rice Universityexternal

$65K/yr

Full-time

Posted 26 days ago

Rice University rating

8.2

Company rating: 8.2 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

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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