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Scientific Computing Internship Jobs in Florida (NOW HIRING)

UAB

SCIENTIST III

Tampa, FL

... interns toward achieving lab and project goals. * Funding Opportunities: Identifying and ... Doctor of Philosophy (PhD) in biomedical informatics, computing, computer science, data science ...

Citadel

Software Engineer - Intern (US)

Miami, FL · On-site

$4.5K - $5.8K/wk

... computing, natural language processing, machine learning and more. As an intern, you'll get to ... Bachelor's, master's or PhD in computer science, computer engineering or related fields

Persona AI

Robotics Data Pipeline Intern

Pensacola, FL · On-site

This is not a "fetch coffee and shadow engineers" internship. You'll own real work and ship real ... D. in Computer Science, Data Engineering, Machine Learning, Robotics, or a related field * Solid ...

Raytheon Technologies

Its 185,000 employees enable the company tooperateat the edge of known science as they imagine and ... Relevant internship, co-op, or professional work experience with one or more of the following areas ...

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Scientific Computing Internship information

What types of projects might I work on during a Scientific Computing Internship?

As a Scientific Computing Intern, you may be involved in projects such as developing simulation models, optimizing computational algorithms, or analyzing large datasets for scientific research. Interns often collaborate closely with researchers and software engineers, contributing to code development, data processing, or scientific visualization tasks. These projects provide hands-on experience with programming languages like Python, MATLAB, or C++, and exposure to high-performance computing environments. The collaborative and interdisciplinary nature of the work allows you to build 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 Scientific Computing Intern, and why are they important?

To thrive as a Scientific Computing Intern, you generally need a solid background in mathematics, programming (often Python, C++, or MATLAB), and data analysis, typically supported by coursework in computer science or a related STEM field. Familiarity with scientific computing tools and libraries such as NumPy, SciPy, and version control systems like Git is common, and experience with high-performance computing environments is a plus. Strong problem-solving abilities, attention to detail, and effective communication skills help interns collaborate with research teams and present complex findings clearly. These qualifications are crucial for efficiently supporting research projects and contributing to innovative scientific solutions.

What is the difference between Scientific Computing Internship vs Data Analyst Internship?

AspectScientific Computing InternshipData Analyst Internship
Required CredentialsTypically requires a background in computer science, mathematics, or engineering; familiarity with programming languages like Python, C++, or MATLABUsually requires a degree in statistics, mathematics, or related fields; skills in SQL, Excel, and data visualization tools
Work EnvironmentResearch labs, academic institutions, or R&D departments within tech or engineering firmsBusiness settings, finance, marketing, or healthcare organizations
Employer & Industry UsageUsed in scientific research, simulations, and modeling projectsApplied in business analytics, reporting, and data-driven decision making

While both internships involve working with data and computational tools, Scientific Computing Internships focus on scientific research, simulations, and technical problem-solving, whereas Data Analyst Internships emphasize analyzing business data to inform decisions. The choice depends on your career interests in research versus business analytics.

What is a Scientific Computing Internship?

A Scientific Computing Internship is a temporary position where students or recent graduates work on projects involving computational methods to solve scientific problems. Interns typically assist with programming, data analysis, mathematical modeling, and using specialized software to support research in fields like physics, biology, or engineering. The internship provides hands-on experience with real-world scientific challenges, often in academic, government, or industry research settings. These opportunities help interns develop technical skills, gain exposure to the research process, and build professional networks in the scientific computing field.
What are the most commonly searched types of Scientific Computing jobs in Florida? The most popular types of Scientific Computing jobs in Florida are:
What are popular job titles related to Scientific Computing Internship jobs in Florida? For Scientific Computing Internship jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Scientific Computing Internship jobs in Florida look for? The top searched job categories for Scientific Computing Internship jobs in Florida are:
Scientific Computing Internship jobs near you
Infographic showing various Scientific Computing Internship job openings in Florida as of July 2026, with employment types broken down into 87% Full Time, 11% Part Time, 1% Temporary, and 1% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Research Assistant / Plasma Physics

AMPERA INC

Palm Beach Gardens, FL • On-site

$18.25 - $25/hr

Full-time

Posted yesterday

Job description

Research Assistant – Plasma Physics

Position Summary
Ampera is seeking a motivated full-time Research Assistant to support work in plasma physics, computational modeling, and related areas within the Department of Nuclear Engineering. This role is well suited for an early-career researcher with a math, physics, engineering, or other hard science background who is comfortable working with technical material, learning new tools, and contributing carefully to ongoing research projects.
Candidates who have not yet graduated are welcome to apply, provided they are able to commit to full-time work during the school year. Students should be prepared to arrange their academic schedule accordingly, such as by taking time away from coursework or otherwise ensuring full-time availability.
The Research Assistant will help with literature review, data collection and analysis, model setup, simulation workflows, technical documentation, and preparation of research outputs. The specific project assignment will depend on the candidate’s background and departmental research needs.
Key Responsibilities
• Support research activities in plasma physics, fusion energy, low-temperature plasmas, plasma-material interactions, computational plasma modeling, diagnostics, or related technical areas.
• Conduct literature reviews and summarize findings for faculty, staff, and research teams.
• Assist with computational modeling, simulation setup, data processing, and results analysis.
• Help prepare figures, tables, technical notes, presentations, and draft sections of reports or manuscripts.
• Maintain organized research records, including assumptions, inputs, scripts, results, and references.
• Participate in regular research meetings and communicate progress, blockers, and findings clearly.
• Follow all applicable laboratory, computational, export control, and data handling procedures.
Required Qualifications
• Current enrollment in, or recent completion of, a degree program in engineering physics, nuclear engineering, physics, mechanical engineering, electrical engineering, materials science, applied mathematics, computer science, or another math, physics, engineering, or hard science field.
• Strong analytical and quantitative skills.
• Demonstrated first-principles thinking: the ability to break problems down to fundamental physics and reason up from there, rather than relying on convention or analogy.
• Ability to read and synthesize technical papers, reports, and documentation.
• Clear written and verbal communication skills.
• Careful attention to detail and willingness to document work thoroughly.
• Ability to work independently while staying aligned with faculty and project guidance.
Preferred Qualifications
• Coursework or research experience in plasma physics, fusion energy, electromagnetics, fluid dynamics, kinetic theory, numerical methods, scientific computing, or computational science.
• Experience with one or more programming or scripting languages, such as Python, MATLAB, C/C++, Fortran, Julia, or similar.
• Familiarity with scientific computing workflows, version control, Linux command-line tools, or high-performance computing environments.
• Experience with plasma simulation tools, particle-in-cell methods, magnetohydrodynamics, fluid plasma models, kinetic modeling, Multiphysics simulation, uncertainty quantification, diagnostics, or data analysis.
• Prior research experience, including undergraduate research, internship experience, capstone projects, or publication/presentation contributions.
Appointment Details
This is a full-time, ongoing research assistant position during the school year.
Application Materials 
Applicants should submit:
• Resume or CV
• Brief statement of interest describing relevant background and research interests
• Unofficial transcript, if applicable
• Names and contact information for one to two references, if requested
• Optional: writing sample, code sample, poster, publication, or project portfolio