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Materials Engineer Phd Jobs in Springfield, OH (NOW HIRING)

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Materials Engineer Phd information

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$34.2K

$90.7K

$142.3K

How much do materials engineer phd jobs pay per year?

As of Sep 7, 2026, the average yearly pay for materials engineer phd in Springfield, OH is $90,739.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,100.00 and $104,900.00 per year, depending on experience, location, and employer.

What is a materials engineer PhD?

Materials Engineers with a PhD are experts who study, develop, and improve materials used in a wide variety of applications, such as electronics, aerospace, and biomedical devices. Their advanced education allows them to conduct high-level research, design new materials, and solve complex engineering problems. They often work in research and development, academia, or specialized industries, contributing to innovations in materials science. Their work involves understanding the properties and behaviors of metals, ceramics, polymers, and composites at a fundamental level.

What are the key skills and qualifications needed to thrive as a materials engineer PhD?

To thrive as a Materials Engineer PhD, you need advanced expertise in materials science, analytical techniques, and a doctoral degree in materials engineering or a related field. Familiarity with laboratory instrumentation, materials characterization tools (such as SEM, TEM, XRD), and scientific software for modeling and data analysis is typically required. Strong critical thinking, problem-solving abilities, and excellent written and verbal communication help you stand out in this role. These skills and qualifications are essential for driving innovative research, publishing impactful findings, and contributing to advancements in materials technology.

What opportunities are available for career advancement for a materials engineer PhD in industry settings?

Materials Engineers with a PhD often start in specialized research or development roles, but there are significant opportunities for advancement. With experience, you may move into senior scientist, project leader, or managerial positions, overseeing teams and strategic projects. Many organizations also offer pathways into technical consulting or innovation leadership, leveraging your advanced expertise to drive new product development. Career progression is often supported by ongoing professional development and collaboration with multidisciplinary teams, providing a dynamic and rewarding environment.

What is the difference between Materials Engineer Phd vs Materials Scientist?

CriteriaMaterials Engineer PhdMaterials Scientist
Required CredentialsPhD in Materials Science or Engineering, advanced research experienceBachelor's or Master's in Materials Science, some roles may require a PhD
Work EnvironmentResearch labs, manufacturing facilities, R&D departmentsResearch labs, academia, industry R&D
Employer & Industry UsageManufacturing companies, aerospace, automotive, R&D firmsResearch institutions, industry, academia

Materials Engineer Phd and Materials Scientist roles often overlap in research and development. The PhD holder typically engages in advanced research, design, and problem-solving in manufacturing and product development, while Materials Scientists may focus more on fundamental research and material properties. Both roles require strong technical expertise, but the PhD often signifies a higher level of specialization and leadership in complex projects.

Are materials engineers in high demand?

Materials engineers with a PhD are in high demand in industries such as aerospace, automotive, and electronics due to their advanced expertise in developing new materials and improving existing ones. They often find opportunities in research and development roles, working with tools like microscopy and spectroscopy, and may require specialized certifications or security clearances depending on the sector.

Is a PhD in Materials Engineer worth it?

A PhD in Materials Engineering can lead to advanced research, teaching positions, and specialized roles in industries such as aerospace, electronics, and nanotechnology. It typically requires several years of study and research but can enhance expertise, job prospects, and earning potential in highly technical fields.

What can I do with a PhD in materials engineer?

A PhD in materials engineering prepares individuals for advanced research, development, and leadership roles in industries such as aerospace, automotive, electronics, and energy. Graduates often work in R&D laboratories, academia, or specialized manufacturing environments, utilizing skills in materials characterization, testing, and computer-aided design. Certification and knowledge of industry standards can enhance career prospects in this field.

What job categories do people searching Materials Engineer Phd jobs in Springfield, OH look for?

The top searched job categories for Materials Engineer Phd jobs in Springfield, OH are:

What cities near Springfield, OH are hiring for Materials Engineer Phd jobs?

Cities near Springfield, OH with the most Materials Engineer Phd job openings:

Microelectronics Security Data Scientist

Riverside Research Institute

Dayton, OH • On-site

$150 - $200/hr

Other

Re-posted 8 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

The Riverside Research Engineering and Support Solutions (ESS) directorate conducts Research and Development (R&D) of cyber-physical attacks against embedded systems. As aMicroelectronics Security Data Scientist, you will collaborate with a multi-disciplinary team of research engineers and scientists on a wide range of microelectronics research projects. You will work directly with a team of hardware security research subject matter experts (SME), the senior Principal Investigator, Technical Lead, and Program Manager to support various project-specific research projects developing solutions to complex, open-ended hardware security problems. The position is at the customer’s location in Dayton, OH. Remote work is not available for this position. Travel is not expected to exceed two to three times a year.

Responsibilities
  • Conduct research in the application of data science, including deep learning and complex statistical data analysis, for problems within microelectronic hardware security
  • Perform all aspects of the data science lifecycle; gather requirements from non-data science technical staff, propose technical approaches, pre-process data, perform exploratory data analysis, model the data, critically evaluate performance of the model, and present findings
  • Develop whitepapers and presentations to communicate research findings
  • Contributes to proposals for new research in similar and/or related technology areas
  • Provide technical mentorship to junior researchers supporting your programs
  • Works collaboratively with customers, multi-disciplinary research partners and Riverside Research business, engineering, and technology teams on complex research and development projects
Qualifications

Required

  • A minimum of 5 years of related experience with a Bachelors degree, 3 years with a Masters degree, a PhD without experience, or equivalent work experience is typically required for an employee at this level.
  • Secret clearance required to start, but must be able obtain Top Secret security clearance and all required program access approvals
  • Expertise with machine learning suited for signal and image data, in one or more of the following: Unsupervised Learning, Bayesian classifiers, Regression, Random Forests, Deep Learning, Graph Neural Networks, Belief Propagation, Statistical Inference, Dimensionality Reduction
  • Proficient in Python and popular data science libraries (NumPy, Scikit-Learn, Matplotlib, etc.)
  • Demonstrated experience processing time‑series or image datasets, including alignment, filtering, feature extraction, and model development
  • Experience presenting technical material to both technical and non-technical audiences
  • Ability to manage timelines, product delivery, and product quality for research projects
  • Willing to work in a secure US Government facilities
  • Interest in solving open-ended research challenges
  • Willing to travel 2-3 times per year

Desired

  • Active DoD Top Secret (TS) or equivalent US Government security clearance
  • Experience with TensorFlow, PyTorch, or similar Deep Learning framework
  • Experience with batch processing, GPU acceleration, or parallel workloads
  • of large data sets across multiple GPUs
  • Experience with data transformations such as Principal Component Analysis (PCA)
  • Experience using revision control software
  • Experience leading a small technical team on research projects
  • Understanding of information theory and its application to cryptographic algorithms
  • Understanding of signal processing is highly desired
  • Bachelor’s Degree in a quantitative discipline (e.g., computer engineering, electrical engineering, statistics, computer science, mathematics, physics, or other STEM fields) and 8 years' experience, or Master’s Degree in a related discipline and 3 years' experience, or 3 years' practical experience with a PhD in a related discipline
Global Comp

$130,000 - $195,000 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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