1

Computational Engineering Internship Jobs in Ohio

This role leads testing activities, gathering both computational and physical vehicle data for ... Required Qualifications: * 1+ years engineering experience based on education, co-op/internship ...

Computational Engineering Internship information

What is a computational engineering internship?

A Computational Engineering Internship is a temporary position for students or recent graduates, where they apply their knowledge of computer science, mathematics, and engineering to solve real-world problems using computational methods. Interns typically work on projects involving simulation, modeling, data analysis, or software development in engineering fields. This role provides hands-on experience with industry tools and technologies, and helps interns develop practical skills in areas such as programming, numerical analysis, and algorithm design. Interns may also collaborate with experienced engineers and researchers, contributing to ongoing projects and gaining valuable insights into engineering workflows.

What types of projects does a computational engineering intern typically work on, and how do these projects contribute to their professional development?

Computational Engineering Interns often work on projects involving simulation, modeling, data analysis, or algorithm development to solve real engineering problems. These assignments may include optimizing engineering processes, validating simulation results, or supporting the development of new computational tools. Interns usually collaborate closely with experienced engineers, gaining exposure to industry software and best practices. This hands-on experience not only develops their technical abilities but also helps them build teamwork and communication skills essential for advancing in the field.

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

To thrive as a Computational Engineering Intern, you need a solid background in mathematics, programming (such as Python, MATLAB, or C++), and engineering principles, typically gained through relevant coursework or a degree in engineering, computer science, or a related field. Familiarity with simulation software, numerical analysis tools, and version control systems like Git is often expected. Strong problem-solving abilities, attention to detail, and effective communication skills help you collaborate and contribute to complex engineering projects. These competencies are crucial for efficiently supporting engineering teams and delivering accurate computational analyses in a fast-paced environment.

What is the difference between Computational Engineering Internship vs Mechanical Engineering Internship?

AspectComputational Engineering InternshipMechanical Engineering Internship
Required CredentialsTypically pursuing or holding a degree in computational, software, or engineering disciplinesTypically pursuing or holding a degree in mechanical engineering or related fields
Work EnvironmentFocus on software development, simulations, and modeling in labs or office settingsHands-on hardware, design, and testing in labs, manufacturing, or field environments
Industry UsageUsed in aerospace, automotive, energy, and tech sectors for simulation and analysisCommon in manufacturing, automotive, aerospace, and product design industries

Computational Engineering Internships focus on software, modeling, and simulation tasks, often in tech-driven industries, while Mechanical Engineering Internships involve physical design, testing, and hardware work. Both roles require engineering backgrounds but differ in daily tasks and work environments.

What are the most commonly searched types of Computational Engineering jobs in Ohio?

The most popular types of Computational Engineering jobs in Ohio are:

What cities in Ohio are hiring for Computational Engineering Internship jobs?

Cities in Ohio with the most Computational Engineering Internship job openings:

Test Engineer (UX)

Raymond, OH • On-site

OSI Engineering, Inc.
Recruiting and Staffing Services • 51 - 200 employees

Other

Posted 28 days ago


Job description

The User Experience Development Test Engineer supports a global automotive company in Raymond, OH by validating the exterior marketability of vehicles against model-specific targets to meet or exceed customer expectations. This role leads testing activities, gathering both computational and physical vehicle data for exterior systems. When performance issues arise, the engineer develops and implements countermeasures in collaboration with cross-functional stakeholders, ensuring alignment with performance, business, and project goals.
Responsibilities:

  • Produce and analyze engineering data using pre-set tools, methods, and formats. Involves working independently.
  • Responsible for planning, preparing, and coordinating various aspects of exterior performance tests including arrangement of facilities, requesting technician support, and acquiring testing materials.
  • Physically support tests including confirmation that test setups are correct and that test plans are understood and executed to intent.
  • Prepare moderately complex documentation for review by technical leadership to record and submit all necessary development / testing / research information per the determined schedule.
  • Help coordinate and execute root cause analysis, countermeasure activites, and improvement intiatives to technical leadership.


Required Qualifications: 

  • 1+ years engineering experience based on education, co-op/internship included.
  • Bachelor of Science Degree in Mechanical, Aerospace Engineering, or equivalent.
  • Proficient in Microsoft Excel, Word, and Powerpoint.
  • Experience or knowledge with any of the following software or similar:
    • 3D CAD surface modeling CATiA or SolidWorks
    • Data acquisition software
    • FEA Software Abaqus, Nastran, Hypermesh, Ansa, Meta, LS-DYNA
    • Scripting in Java, Python, MATLAB


Preferred Qualifications:

  • Experience in data analysis and communication of complex information to engineering management is desired.