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How much do computational astrophysics jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for computational astrophysics in the United States is $16.76, according to ZipRecruiter salary data. Most workers in this role earn between $13.22 and $17.55 per hour, depending on experience, location, and employer.

What is computational astrophysics?

A Computational Astrophysics job involves using numerical simulations, algorithms, and data analysis techniques to study astrophysical phenomena. Scientists in this field develop and run complex computer models to understand the behavior of celestial objects, such as galaxies, stars, and black holes. They also analyze large datasets from telescopes and space missions to test theoretical predictions. The job requires expertise in physics, mathematics, and programming, often using languages like Python, C++, or Fortran. Computational astrophysicists work in academia, research institutions, and space agencies, contributing to our understanding of the universe.

What types of projects or research topics do computational astrophysicists commonly work on?

Computational astrophysicists are often involved in simulating galaxy formation, modeling the behavior of black holes, analyzing large-scale cosmic structures, and interpreting data from telescopes or space missions. These projects typically require developing and running complex algorithms to model physical processes that are not easily studied through observation alone. Day-to-day responsibilities may include writing code, debugging simulations, analyzing large datasets, and collaborating closely with observational astronomers and theoretical physicists. Working in this field offers exposure to cutting-edge research and opportunities to contribute to significant scientific discoveries.

What are the key skills and qualifications needed to thrive in computational astrophysics, and why are they important?

To thrive in computational astrophysics, a deep understanding of physics, mathematics, and computer science is essential, typically supported by an advanced degree in astrophysics or a related field. Proficiency with programming languages such as Python, C++, and MATLAB, as well as experience using high-performance computing clusters and scientific data analysis tools, is highly valuable. Critical thinking, strong problem-solving abilities, and effective communication are key soft skills for collaborating within cross-disciplinary teams and presenting complex results. These skills are vital for effectively modeling, simulating, and interpreting astrophysical phenomena in a fast-evolving research environment.

Is computational astrophysics worth it?

Computational astrophysics is a valuable field that involves using high-performance computing and programming skills to simulate and analyze astronomical phenomena. It offers opportunities in research, academia, and industry, often requiring strong backgrounds in physics, mathematics, and programming languages like Python or C++. The field can be rewarding for those interested in scientific discovery and technological development.

What do computational astrophysicists do?

Computational astrophysicists develop and use computer models, simulations, and data analysis techniques to study astronomical phenomena such as star formation, galaxy evolution, and cosmology. They often work with programming languages like Python or C++, utilize high-performance computing resources, and collaborate with observational and theoretical scientists to interpret data and test hypotheses.
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Infographic showing various Computational Astrophysics job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 53% Full Time, 45% Part Time, and 1% Contract. Highlights an 49% Physical, 2% Hybrid, and 49% Remote job distribution, with an average salary of $34,865 per year, or $16.8 per hour.

Computational Physics Specialist - Remote

micro1 AI

Minneapolis, MN โ€ข Remote

$80 - $140/hr

Part-time

Posted 18 days ago


Job description

Role Title: Physics Expert (PhD / Postdoc)


Role Type: Contractor.


Location: Remote


micro1 is engaging Physics Experts (PhD / Postdoc) to contribute deep scientific knowledge and problem-solving skills to a high-impact customer project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required โ€” your domain knowledge is what matters.


Scope of Work

  1. Solve advanced physics problems from your specialization, delivering rigorous, well-documented derivations and analyses.
  2. Produce technically precise, clearly written solutions, detailing all assumptions, approximations, and final results using LaTeX mathematical notation.
  3. Utilize SymPy, Python, and Jupyter for symbolic or numerical verification and clear computational workflows where relevant.
  4. Identify and articulate subtleties in problem statements, including special cases, boundary conditions, and dimensional consistency.
  5. Flag ambiguities in project materials, proposing well-reasoned interpretations and clarifications as needed.
  6. Iterate on submitted solutions in response to feedback from project reviewers, ensuring corrections are cleanly integrated.
  7. Uphold rigorous standards in documentation and reproducibility consistent with professional research practice.


Preferred Qualifications

  1. PhD in physics or advanced-stage PhD candidacy, with active research experience in a relevant subfield.
  2. Research expertise in one or more of: High Energy Physics, Mathematical Physics, Biophysics, Statistical Physics, Condensed Matter (including moirรฉ systems, magnetism, PXP/Rydberg), AMO/Quantum Optics, Gravitation, Cosmology, Astrophysics, Quantum Information, or Optical Properties of Materials.
  3. 2โ€“5 recent representative publications (past ~5 years) in your field, with accessible arXiv or DOI records.
  4. Proficiency with LaTeX for presenting mathematics, and with SymPy, Python, and Jupyter for computational work; willingness to indicate areas for further support if needed.
  5. Demonstrated excellence in written technical communication, with a track record of producing clear, precise, and well-argued scientific outputs.
  6. Strong analytical skills, able to isolate key physical principles and provide nuanced solutions to complex problems.
  7. Availability to engage with the project consistently over an 8โ€“10 week period (approx. 10 hours/week).