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How much do computational physics internship jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for computational physics internship in the United States is $19.86, according to ZipRecruiter salary data. Most workers in this role earn between $17.07 and $22.36 per hour, depending on experience, location, and employer.

What is a computational physics internship?

A Computational Physics Internship is a temporary position, often for students or recent graduates, where you work on applying computational methods to solve physical problems. Interns typically use programming, simulations, and data analysis to investigate phenomena in fields like condensed matter, astrophysics, or materials science. The internship provides hands-on experience with scientific computing tools, coding languages such as Python or C++, and exposure to real-world research projects. It's an opportunity to develop technical skills, collaborate with professionals, and gain insights into careers in computational physics.

What types of projects and collaboration can I expect during a computational physics internship?

During a Computational Physics Internship, you will likely work on projects involving numerical simulations, modeling physical systems, and data analysis using specialized software and programming languages like Python or C++. Interns typically collaborate closely with research scientists, fellow interns, and sometimes cross-functional teams such as engineers or software developers. Regular meetings and code reviews are common, providing opportunities to learn from experienced professionals and contribute to ongoing research. This collaborative environment helps interns develop both technical and teamwork skills, which are valuable for future roles in academia or industry.

What are the key skills and qualifications needed to thrive as a computational physics intern, and why are they important?

To thrive as a Computational Physics Intern, you need a solid background in physics, mathematics, and programming, typically supported by coursework or a degree in physics, applied mathematics, or a related field. Familiarity with programming languages such as Python, C++, or MATLAB, and experience with simulation software or high-performance computing environments are commonly required. Strong analytical thinking, problem-solving abilities, and effective teamwork skills help interns excel in collaborative research settings. These skills are vital for efficiently conducting simulations, analyzing complex data, and contributing meaningfully to scientific projects.

What is the difference between Computational Physics Internship vs Computational Physics Research Assistant?

AspectComputational Physics InternshipComputational Physics Research Assistant
Required CredentialsUndergraduate or early graduate students, relevant courseworkGraduate students or recent graduates, advanced coursework or research experience
Work EnvironmentTemporary, project-based, often in industry or academiaLong-term research projects, academic or institutional labs
Employer & Industry UsageTech companies, research institutes, universitiesUniversities, research labs, academic institutions
Common Search & Comparison IntentUnderstanding internship opportunities and entry pointsExploring research roles and academic career paths

The main difference between a Computational Physics Internship and a Computational Physics Research Assistant lies in experience level, duration, and work setting. Internships are typically short-term, aimed at students gaining industry experience, while research assistant roles are more permanent or long-term, focused on academic research. Both roles require a background in physics and computational skills but differ in their scope and environment.

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Computational Physics Internship jobs near you
Infographic showing various Computational Physics Internship job openings in the United States as of August 2026, with employment types broken down into 10% Internship, 56% Full Time, 32% Part Time, 1% Temporary, and 1% Contract. Highlights an 77% Physical, 2% Hybrid, and 21% Remote job distribution, with an average salary of $41,299 per year, or $19.9 per hour.

Computational Data Scientist

SURVICE Engineering Company

Aberdeen Proving Ground, MD • On-site

$115K - $130K/yr

Full-time

Retirement, PTO

Posted 23 days ago

Job description

Join Us in Making a Difference in the Lives of Those Defending Our Nation!
Why SURVICE?
Come join the SURVICE Engineering mission to protect, enhance, and enable those who defend the United States. Since 1981, we have supported the DoD community, as well as Homeland Security, advanced technologies, environmental, and commercial markets. Our employees have backgrounds in engineering, physics, mathematics, chemistry, computer science, acquisition, technical writing, training, and other technical and administrative fields. And many of our personnel have DoD and/or operational military experience. If you're looking for a challenging and rewarding career with a leading organization, come see what we can offer you!
Position
Computational Data Scientist
  • Location: Aberdeen Proving Ground, Maryland
  • Security Clearance: Active Clearance or Eligible to Obtain - U.S. citizenship required
  • Salary: $115,000 - $130,000 Depending on Experience and Education
  • Travel: 5%
  • Benefits: SURVICE Engineering offers a total rewards package to include competitive salaries, comprehensive insurance options, paid time off, 401k, flexible spending, tuition reimbursement.

Position Summary
SURVICE Engineering is currently seeking a Computational Data Scientist to support our Aberdeen Research Operation. You will accelerate your career and become an integral team member within the defense community.
Primary Duties and Responsibilities
  • Carry out forward-looking programs of materials research and process modeling leveraging data science methodologies and tools including artificial intelligence, machine learning (ML), probabilistic graph models, neural networks, or other emergent techniques.
  • Work with a multidisciplinary team of ARL experimental, theoretical, and computational scientists through decision making aids such as visual analytics and human-in-the-loop strategies to improve scientific efficiency and impact.
  • Apply learning algorithms on high-dimensional, complex and/or streaming data sets with limited labels and of diverse quality for smart decision making.
  • Pursue data processing of heterogeneous types from numeric, digital objects, images, structured to unstructured from data capture, data integration, data cleaning to data management.
  • Interface with data scientists in academic, industrial and government labs to identify and transition cutting edge tools for use at ARL, and work with outside partners to fill critical gaps in skills and capabilities.
  • Prepare presentations and written documents summarizing efforts in Government format

Minimum Qualifications of Computational Data Scientist
Masters of Science or PhD in Computer Science or Math related discipline and 3+ years of relevant experience. Exceptional candidates with less experience will be considered. Candidates are not required to possess all qualifications; if you possess some of the desired qualifications, please apply.
  • MS or PhD concentration in machine learning with at least three (3) independent projects including internships and thesis work OR minimum of five (5) years of dedicated experience with machine learning.
  • Practical experience in applying data science to model complex real-world problems.
  • Proficient in using Python and AI/ML models.
  • Experience in communicating results through reports and presentations.

About Us
SURVICE Engineering is a nationally recognized, single-source engineering service provider for Government and Industry organizations involved in all phases of the systems engineering process. Our employees are our most valuable asset, and they are proud to have supported the development, testing, analysis, and modeling and simulation (M&S) of many of the major U.S. air, land, and sea combat systems in the field today. They have also contributed their expertise to other vital national defense programs and technologies that involve survivability, cybersecurity, information technology/management, software engineering, unmanned aerial systems (UASs), and metrology/reverse engineering.
SURVICE Engineering is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. VEVRAA Federal Contractor.

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