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Internship Numerical Methods Jobs in Florida (NOW HIRING)

Flatiron Construction Corp

Field Engineer Intern

Orlando, FL · On-site

$15.75 - $20.25/hr

... number of project locations. In addition, you will assist the project manager, project engineer ... Field engineer interns will be required to have a working knowledge of the entire project ...

Flatiron Construction Corp

Field Engineer Intern

Tampa, FL

$15.75 - $20.50/hr

... number of project locations. In addition, you will assist the project manager, project engineer ... Field engineer interns will be required to have a working knowledge of the entire project ...

Esquire Law

Intern - Esquire Law Services

Tampa, FL · On-site

Steinger, Greene & Feiner is a proven legal team, and our number one goal is to get injury victims ... This internship is designed to provide you with a comprehensive understanding of the legal process ...

Esquire Law

Intern - Esquire Law Services

Orlando, FL · On-site

Steinger, Greene & Feiner is a proven legal team, and our number one goal is to get injury victims ... This internship is designed to provide you with a comprehensive understanding of the legal process ...

City of Hollywood, FL

College Intern

Fort Lauderdale, FL · On-site

$14.25 - $19/hr

Intern Job Number: 2026-185 Department: Various Opening Date: 07/08/2026 Closing Date: 10/8/2026 11 ... Our internships offer students the opportunity to give back to their community and gain experience ...

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All JobsNumerical Methods JobsInternship Numerical Methods JobsInternship Numerical Methods Jobs in Florida

Internship Numerical Methods information

What are the key skills and qualifications needed to thrive as an intern in Numerical Methods, and why are they important?

To thrive as an intern in Numerical Methods, you need a solid understanding of mathematics, computational modeling, and problem-solving, typically supported by coursework in applied mathematics, engineering, or computer science. Familiarity with programming languages like Python or MATLAB and exposure to numerical analysis software are often expected. Strong analytical thinking, attention to detail, and effective communication help interns interpret results and collaborate with team members. These skills are crucial for accurately solving complex numerical problems and contributing to research or engineering projects.

What is the difference between Internship Numerical Methods vs Data Analyst?

AspectInternship Numerical MethodsData Analyst
Required CredentialsBasic knowledge of mathematics, programming, and numerical algorithmsBachelor's degree in statistics, mathematics, or related field
Work EnvironmentInternship setting, often in research or technical teamsOffice environment, working with data sets and reporting tools
Employer & Industry UsageResearch institutions, engineering firms, tech companiesBusiness, finance, healthcare, marketing sectors
Search & Comparison IntentUnderstanding entry-level roles in numerical computationExploring data analysis careers and skills

Internship Numerical Methods focuses on applying mathematical and computational techniques to solve problems, often in research or technical settings. Data Analyst roles involve interpreting data, creating reports, and supporting decision-making in various industries. While both require analytical skills, internships emphasize learning and applying numerical algorithms, whereas data analysts focus on data interpretation and visualization.

What are internship numerical methods?

Internship numerical methods refer to internships focused on applying mathematical techniques and algorithms to solve real-world problems using numerical computations. These internships typically involve working with numerical analysis, modeling, simulation, and programming to analyze data or solve engineering and scientific problems. Interns may use tools like MATLAB, Python, or specialized software to implement and test numerical algorithms under the guidance of professionals. Such internships are valuable for students in mathematics, engineering, physics, or computer science, offering practical experience in computational problem-solving.

What types of projects can an intern expect to work on during a Numerical Methods internship?

As a Numerical Methods intern, you can expect to work on projects involving the development, implementation, and testing of algorithms for solving mathematical problems—such as differential equations, optimization, or data analysis tasks. You may collaborate with engineers or researchers to improve computational models, validate results, or optimize code for efficiency. These projects often require a mix of programming (commonly in Python, MATLAB, or C++), mathematical analysis, and teamwork. This hands-on experience is valuable for building problem-solving skills and gaining exposure to real-world applications of numerical techniques.
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Internship Numerical Methods jobs near you

Research Assistant / Plasma Physics

AMPERA INC

Palm Beach Gardens, FL • On-site

$18.25 - $25/hr

Full-time

Posted 25 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 candidates 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