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Internship Computational Physicist Jobs (NOW HIRING)

Orbotech

Algorithm Engineer Intern

Milpitas, CA · On-site

$35 - $58/hr

... or computational physics Base Pay Range: $35.00 - $58.00 per hour based on pursuit of a Ph.D ... Interns are eligible for some of the benefits listed. Our pay ranges are determined by role, level ...

New

KLA Corporation

Algorithm Engineer Intern

Milpitas, CA · On-site

$35 - $58/hr

... or computational physics Base Pay Range: $35.00 - $58.00 per hour based on pursuit of a Ph.D ... Interns are eligible for some of the benefits listed. Our pay ranges are determined by role, level ...

KLA Corporation

Algorithm Engineer Intern

Milpitas, CA

$35 - $58/hr

... or computational physics Base Pay Range: $35.00 - $58.00 per hour based on pursuit of a Ph.D ... Interns are eligible for some of the benefits listed. Our pay ranges are determined by role, level ...

New

Quandela

Senior Research Scientist US

Washington, DC · On-site

$111K - $142K/yr

... computational results that support Quandela's technology roadmap ... The successful candidate will work closely with multidisciplinary teams across quantum physics ...

Quandela

Senior Research Scientist US

Washington, DC

$111K - $142K/yr

... computational results that support Quandela's technology roadmap ... The successful candidate will work closely with multidisciplinary teams across quantum physics ...

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How much do internship computational physicist jobs pay per year?

As of Jul 3, 2026, the average yearly pay for internship computational physicist in the United States is $168,844.00, according to ZipRecruiter salary data. Most workers in this role earn between $155,500.00 and $182,000.00 per year, depending on experience, location, and employer.

What types of projects can an Internship Computational Physicist expect to work on, and how are these projects typically structured within a research or industrial team?

As an Internship Computational Physicist, you can expect to work on projects that involve developing and applying numerical simulations, data analysis, or modeling of physical systems. These projects are often structured as part of a larger team, where you might collaborate with senior physicists, software engineers, and domain experts. Interns commonly contribute by writing and testing code, running simulations, analyzing results, and presenting findings in team meetings. This collaborative environment provides valuable experience in scientific computing and exposure to real-world applications, which is beneficial for career development in both academia and industry.

What are the big 4 internships?

The 'Big 4' internships typically refer to the four largest professional services firms: Deloitte, PricewaterhouseCoopers (PwC), Ernst & Young (EY), and KPMG. These firms offer competitive internship programs in areas such as consulting, audit, tax, and advisory, often requiring strong analytical skills and relevant coursework. For an internship as a computational physicist, gaining experience in data analysis, programming, and scientific research is beneficial.

What can I do with a computational physics degree?

A computational physicist can work in research, data analysis, simulation development, and modeling across industries such as aerospace, energy, and technology. They often use programming languages like Python or C++ and may work in academia, government labs, or private sector companies to solve complex scientific problems. Skills in numerical methods, high-performance computing, and scientific software are essential for these roles.

Who hires computational physicists?

Computational physicists are typically hired by research institutions, universities, government laboratories, and private industry companies involved in scientific research, technology development, and data analysis. They often work in environments that require strong programming skills and knowledge of physics to develop simulations, models, and algorithms for complex problems.

What are the key skills and qualifications needed to thrive as an Internship Computational Physicist, and why are they important?

To thrive as an Internship Computational Physicist, you need a solid background in physics, mathematics, and programming, typically supported by progress toward a relevant degree. Familiarity with programming languages such as Python, C++, or MATLAB, as well as experience with simulation software and data analysis tools, is often required. Strong problem-solving abilities, attention to detail, and effective communication skills help interns collaborate and convey complex results. These skills are crucial for conducting accurate simulations, interpreting data, and contributing to research projects in a collaborative environment.

Is computational physics in demand?

Computational physics is in high demand across industries such as research, aerospace, and data science, as it involves modeling complex systems using programming and simulation tools. Employers seek professionals skilled in programming languages like Python or C++ and familiar with high-performance computing environments, making it a valuable skill set for computational physicists. The field offers opportunities in academia, government labs, and private sector research and development.

What does an Internship Computational Physicist do?

An Internship Computational Physicist assists in scientific research by using computational methods and simulations to solve problems in physics. Interns typically work with experienced physicists to develop and run computer models, analyze complex data, and contribute to ongoing research projects. Their work may involve programming, mathematical modeling, and collaborating with interdisciplinary teams to advance scientific understanding. This role provides valuable hands-on experience and prepares students for careers in research, academia, or industry.
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Internship Computational Physicist jobs near you

Undergraduate Intern Quantitative Data & Finance (Cross-Disciplinary

Risk Analytics Company

Cambridge, MA

Full-time

Posted 29 days ago

Be an early applicant

Job description

Position Overview
We are seeking an undergraduate student to support our Finance and IT teams with a focus on data analysis and quantitative problem-solving. This internship provides hands-on experience working with financial datasets, basic modeling, and tools used in data-driven decision-making.
We welcome candidates from analytical and cross-disciplinary backgroundsincluding mathematics, applied mathematics, statistics, economics, engineering, computer science, physics, astrophysics, quantum computing, biotech and other data-driven fieldswho are interested in applying quantitative thinking to real-world business and financial problems.
Key Responsibilities
  • Work with structured datasets to support basic financial and operational analysis
  • Assist in organizing, cleaning, and validating data for reporting and modeling
  • Build and maintain spreadsheets and simple analytical models in Excel
  • Support development of reports, dashboards, and visualizations
  • Identify patterns, inconsistencies, or trends in data
  • Assist with automation or efficiency improvements using tools like Excel, SQL, or Python (where applicable)
  • Collaborate with team members on data, finance, and technology-related tasks
  • Apply quantitative or analytical approaches from coursework to practical business problems
Required Qualifications
  • Currently pursuing a Bachelors degree in a quantitative or analytical field (e.g., Mathematics, Applied Mathematics, Physics, Astrophysics, Statistics, Economics, Computer Science, Quantum Computing, Engineering, Finance, Biotech, or other data-driven discipline)
  • Strong problem-solving and analytical thinking skills
  • Familiarity with:
    • Microsoft Excel (formulas, basic functions)
    • Microsoft Office (Word, PowerPoint)
  • Comfort working with numbers and structured data
  • Strong attention to detail and willingness to learn
Preferred Qualifications
  • Exposure to programming or data tools (Python, SQL, R, or similar) through coursework or projects
  • Experience with Excel functions (e.g., VLOOKUP, pivot tables)
  • Introductory knowledge of statistics, probability, or data analysis
  • Interest in financial markets, data analytics, or fintech
  • Coursework or projects involving:
    • Data analysis or visualization
  • Mathematical modeling
  • Machine learning (introductory)
  • Computational or applied problem-solving
What Youll Gain
  • Hands-on experience applying quantitative skills in a real-world business environment
  • Exposure to financial data, analytics workflows, and decision-making processes
  • Opportunity to build foundational data and modeling skills
  • Mentorship and professional development
  • Insight into career paths in quantitative finance, data science, and analytics
Internship Details
  • Summer 2026, with possible extension