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Phd Material Science Jobs in Ohio (NOW HIRING)

Possess a minimum of a Bachelor's degree in Engineering, preferably in Mechanical, Chemical, or Material Science disciplines; candidates with a Master's degree or PhD will be given preference due to ...

Possess a minimum of a Bachelor's degree in Engineering, preferably in Mechanical, Chemical, or Material Science disciplines; candidates with a Master's degree or PhD will be given preference due to ...

Senior Scientist

Circleville, OH · On-site

$85K - $116K/yr

PhD in Polymer Science, Material Science, Physical Chemistry, or related discipline. * Strong knowledge in polymer synthesis, polymer physics, polymer characterization, and process. * Deep ...

Senior Scientist

Circleville, OH · On-site

$85K - $116K/yr

PhD in Polymer Science, Material Science, Physical Chemistry, or related discipline. * Strong knowledge in polymer synthesis, polymer physics, polymer characterization, and process. * Deep ...

PhD in Chemical Engineering or Material Science; or MA with +5 industrial experience * Coding skills in R or Python including data preparation, regression, and plotting * Some formal education in ...

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Phd Material Science information

What is the difference between Phd Material Science vs Materials Engineer?

AspectPhd Material ScienceMaterials Engineer
Required CredentialsPhD in Material Science or related fieldBachelor's or Master's in Materials Engineering or related field
Work EnvironmentResearch labs, academia, R&D departmentsManufacturing, product development, industry labs
Industry UsageResearch, academia, advanced R&DProduct design, process improvement, manufacturing

Phd Material Science professionals focus on advanced research, developing new materials, and academic roles, often working in labs or universities. Materials Engineers typically work in industry settings, applying existing knowledge to develop and improve products and manufacturing processes. While both roles require knowledge of materials, the PhD is more research-oriented, whereas Materials Engineers focus on practical application and product development.

What are popular job titles related to Phd Material Science jobs in Ohio?

For Phd Material Science jobs in Ohio, the most frequently searched job titles are:

What cities in Ohio are hiring for Phd Material Science jobs?

Cities in Ohio with the most Phd Material Science job openings:

Infographic showing various Phd Material Science job openings in Ohio as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 17% Part Time, and 2% Contract. Highlights an 73% Physical, 4% Hybrid, and 23% Remote job distribution.

Materials Informatics Research Scientist

Riverside Research

Dayton, OH

$130K - $220K/yr

Full-time

Re-posted 13 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.