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Computational Modeling Internship Jobs in Florida

SCIENTIST III

Tampa, FL ยท On-site

The selected candidate will lead the development of novel AI models and software systems that form ... computational studies, and lead lab-in-the-loop collaborations with UAB, regional, and national ...

Support data modeling and visualization efforts aligned to DoD risk taxonomies * Participate in ... Solid understanding of time complexity and computational efficiency, especially when handling large ...

Entry Level Water Resources Engineer

Orlando, FL ยท On-site

$73K - $100K/yr

... modeling platforms, geospatial analytics, emerging digital solutions, and cloud-based computational ... employment, internships, research, or academic projects. * Fundamental understanding of open ...

Entry Level Water Resources Engineer

Orlando, FL ยท On-site

$73K - $100K/yr

... modeling platforms, geospatial analytics, emerging digital solutions, and cloud-based computational ... employment, internships, research, or academic projects. * Fundamental understanding of open ...

New

Support data modeling and visualization efforts aligned to DoD risk taxonomies * Participate in ... Solid understanding of time complexity and computational efficiency, especially when handling large ...

$116K - $158K/yr

Utilizes advanced tools and computational skills to interpret, connect, predict, and make ... Use predictive modeling to increase and optimize customer experience, efficiencies, process ...

Computational Modeling Internship information

What is a computational modeling internship?

A Computational Modeling Internship is a temporary position where students or recent graduates work with organizations to develop and use computer-based models to simulate real-world systems, processes, or phenomena. Interns in this role typically use programming, mathematics, and data analysis techniques to help solve complex problems in fields like engineering, biology, physics, or finance. The internship provides hands-on experience in model development, validation, and interpretation, often supporting research or product development projects. It is an opportunity to gain practical skills, collaborate with professionals, and contribute to innovative solutions.

What types of projects and collaborations can I expect during a computational modeling internship?

During a Computational Modeling Internship, you can expect to work on projects involving data analysis, simulation, and model development to solve real-world problems in fields like engineering, biology, or physics. Interns often collaborate closely with multidisciplinary teams, including researchers, software engineers, and data scientists. You'll likely contribute to ongoing research or product development by running simulations, interpreting results, and presenting findings to team members. This collaborative environment helps interns build both technical expertise and communication skills while gaining exposure to various aspects of computational modeling.

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

To thrive as a Computational Modeling Intern, you need a solid background in mathematics, programming (often Python or MATLAB), and familiarity with numerical methods, typically supported by coursework in computational science or engineering. Experience with modeling software, simulation tools, and version control systems like Git is highly valued. Strong analytical thinking, attention to detail, and effective communication set outstanding candidates apart. These skills are crucial for accurately developing, interpreting, and presenting complex models that inform research and decision-making.

What is the difference between Computational Modeling Internship vs Data Analyst Internship?

AspectComputational Modeling InternshipData Analyst Internship
Required SkillsProgramming, mathematical modeling, simulation toolsData analysis, statistics, visualization tools
Work EnvironmentResearch labs, tech companies, academiaBusiness, finance, healthcare sectors
Common Industry UsageEngineering, scientific research, simulation projectsBusiness intelligence, market analysis, reporting

While both internships involve data handling and technical skills, Computational Modeling Internships focus on developing and applying mathematical models and simulations, often in research or scientific contexts. Data Analyst Internships emphasize analyzing datasets to extract insights for business decisions. The choice depends on your career goals: research and modeling or data-driven business analysis.

What are the most commonly searched types of Computational Modeling jobs in Florida?

The most popular types of Computational Modeling jobs in Florida are:

What job categories do people searching Computational Modeling Internship jobs in Florida look for?

The top searched job categories for Computational Modeling Internship jobs in Florida are:

What cities in Florida are hiring for Computational Modeling Internship jobs?

Cities in Florida with the most Computational Modeling Internship job openings:

Research Assistant / Plasma Physics

Palm Beach Gardens, FL โ€ข On-site

$18.25 - $25/hr

Full-time

Re-posted 27 days ago


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