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Intern Computational Materials Science Jobs in Ohio

Core4ce

AAIM Lab Lead

Beavercreek, OH

Expertise in specific technical areas such as materials design and computational materials science, optics/photonics, magnetics, electronics, quantum technologies, metamaterials, chemical synthesis ...

Core4ce Careers

AAIM Lab Lead

Beavercreek, OH · On-site

Expertise in specific technical areas such as materials design and computational materials science, optics/photonics, magnetics, electronics, quantum technologies, metamaterials, chemical synthesis ...

Core4ce Careers

AAIM Lab Lead

Beavercreek, OH · On-site

$120 - $180/hr

Expertise in specific technical areas such as materials design and computational materials science, optics/photonics, magnetics, electronics, quantum technologies, metamaterials, chemical synthesis ...

Core4ce

AAIM Lab Lead

Beavercreek, OH · On-site

$175K - $200K/yr

Expertise in specific technical areas such as materials design and computational materials science, optics/photonics, magnetics, electronics, quantum technologies, metamaterials, chemical synthesis ...

Vibrantz

Lab Tech Intern - Paint & Coatings

Cleveland, OH · On-site

$18.50 - $24.50/hr

Laboratory Technician Intern The Laboratory Technician Intern supports laboratory operations within ... Engineering, Materials Science, Polymer Science, or a related field * Basic understanding of ...

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Intern Computational Materials Science information

What does an intern in computational materials science do?

An Intern in Computational Materials Science assists in research and development by applying computational techniques to study and predict the properties and behaviors of materials. Typical tasks include running simulations, analyzing data, and working with software tools to model materials at the atomic or molecular level. Interns may collaborate with researchers to design experiments, interpret results, and contribute to scientific publications or reports. This role provides hands-on experience in both computational methods and materials science, helping to bridge theory and practical application.

What types of projects can an intern in computational materials science expect to work on during their internship?

As an Intern in Computational Materials Science, you can expect to engage in projects involving simulations of material properties, data analysis from computational experiments, and the development of models to predict material behavior. You may collaborate with researchers and senior scientists to support ongoing investigations or help optimize simulation workflows. These projects often require proficiency in programming languages such as Python or MATLAB and may involve the use of specialized software like VASP or LAMMPS. The experience provides a hands-on understanding of how computational methods contribute to advancing materials research and often includes opportunities to present your findings to the team.

What are the key skills and qualifications needed to thrive as an intern in computational materials science, and why are they important?

To thrive as an Intern in Computational Materials Science, you need a solid background in materials science, physics, or engineering, along with coursework in computational modeling and data analysis. Familiarity with programming languages like Python or MATLAB, experience with simulation software (such as VASP or LAMMPS), and knowledge of high-performance computing are typically required. Strong analytical thinking, attention to detail, and effective teamwork are important soft skills for success in collaborative research environments. These skills enable interns to contribute meaningfully to research projects, analyze complex materials data, and communicate findings clearly within multidisciplinary teams.

What is the difference between Intern Computational Materials Science vs Intern Materials Engineering?

AspectIntern Computational Materials ScienceIntern Materials Engineering
Required CredentialsUndergraduate or graduate in materials science, physics, or related fields; basic programming skillsUndergraduate or graduate in materials engineering, mechanical engineering, or related fields; foundational technical knowledge
Work EnvironmentResearch labs, computational modeling, data analysisDesign, testing, and development in labs or manufacturing settings
Industry UsageResearch institutions, tech companies, aerospace, academiaManufacturing firms, product development, construction

Intern Computational Materials Science focuses on computational modeling and simulations of materials properties, while Intern Materials Engineering emphasizes practical design, testing, and application of materials. Both roles require a background in materials-related fields but differ in their core activities and work environments.

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

The most popular types of Computational Materials Science jobs in Ohio are:

What are popular job titles related to Intern Computational Materials Science jobs in Ohio?

For Intern Computational Materials Science jobs in Ohio, the most frequently searched job titles are:

What job categories do people searching Intern Computational Materials Science jobs in Ohio look for?

The top searched job categories for Intern Computational Materials Science jobs in Ohio are:

What cities in Ohio are hiring for Intern Computational Materials Science jobs?

Cities in Ohio with the most Intern Computational Materials Science job openings:

Intern Computational Materials Science jobs near you

Materials Informatics Research Scientist

Riverside Research

Dayton, OH • On-site

$130K - $220K/yr

Full-time

Re-posted 12 days ago

Job description

Riverside Overview

Riverside Research is an independent National Security Nonprofit dedicated to research and development in the national interest. We provide high-end technical services, research and development, and prototype solutions to some of the country’s most challenging technical problems. All Riverside Research opportunities require U.S. Citizenship.

Position Overview

Riverside Research is seeking a highly skilled and innovative Materials Informatics Research Scientist to join our advanced materials team. The successful candidate will utilize high-performance computing (HPC) and data-driven approaches to accelerate the discovery, design, and optimization of advanced composite materials. Research, develop, test, prototype, demonstrate and transition HPC and data-driven technologies that support the performance prediction of advanced composites materials in aerospace. This role involves working closely with interdisciplinary teams to apply computational methods and data analytics to solve complex material science problems.

Responsibilities

  • Lead the technical direction with government and team, and mentor junior/mid-level staff.
  • Develop and implement high-performance computing models and simulations to study the behavior and performance of advanced composite materials.
  • Utilize data-driven techniques, including machine learning and artificial intelligence to analyze large datasets and extract meaningful insights for material design.
  • Collaborate with material scientists, engineers, and data scientists to integrate computational and experimental data for comprehensive material understanding.
  • Perform multi-scale modeling and simulation to link microstructural features with macroscopic properties.
  • Design and execute computational experiments to predict material properties and guide the development of new composite materials.
  • Analyze simulation and experimental data to validate model and improve their predicative accuracy.
  • Prepare technical reports, presentations, and publications to communicate research findings.

Qualifications

Required Qualifications:

  • Bachelor’s degree in materials science, computational science, electrical engineering, or a related field with a focus on high-performance computing and data-driven research with 8 years of experience or 6 years with MS or 3 years with PhD.
  • Must be eligible to obtain a Top Secret security clearance.
  • 5+ years of experience in computational modeling and simulation of composite materials.
  • Proven experience leading a technical project and team.
  • Strong knowledge of high-performance computing platforms and software, such as MPI, OpenMP. CUDA, and related tools.
  • Proficiency in data analytics, machine learning, and artificial intelligence techniques.
  • Experience with multi-scale modeling and integration of different simulation methods.
  • Excellent analytical and problem-solving skills with the ability to interpret complex data.
  • Experience in collaborative research environment, working effectively with cross-functional teams.

Desired Qualifications:

  • Experience in the aerospace, automotive, or renewable energy industries.
  • Familiarity with materials characterization techniques and their integration with computational models.
  • Experience with grant writing and securing funding for research projects.
  • Capability to develop projects using a mixture of python, MATLAB, C, and data processing languages.

Global Comp

$130,000 - $220,000 This represents the typical compensation range for this position based on experience, location and other factors.

Closing Statement

Riverside Research Institute is a not-for-profit, technology-oriented defense company, where service to our customers and support of our staff is our overall mission. Riverside is an affirmative action-equal opportunity employer and complies with all applicable federal, state, and local laws regarding recruitment and hiring. Riverside offers comprehensive compensation and benefit packages to our employees. Riverside bases its employment decisions solely on technical experience, qualifications and other job-related criteria related to our organizational purpose as a not-for-profit company, and without regard to race, color, religion, age, sex marital status, sexual orientation, national origin, physical or mental disability, veteran’s status or any other status legally protected by applicable federal, state, and local law.

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