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Phd Material Science Jobs in Texas (NOW HIRING)

Doctorate (PhD) Degree in relevant discipline such as Materials Science, Physics, or Electrical Engineering. * 3+ years in semiconductor device physics and modeling * Strong coding skills to maintain ...

Doctorate (PhD) Degree in relevant discipline such as Materials Science, Physics, or Electrical Engineering. * 3+ years in semiconductor device physics and modeling * Strong coding skills to maintain ...

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... materials, applying scientific research, developing defensible opinions, preparing technical ... PhD in Mechanical Engineering, Biomedical Engineering, Aerospace Engineering, Human Factors ...

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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 cities in Texas are hiring for Phd Material Science jobs? Cities in Texas with the most Phd Material Science job openings:
Infographic showing various Phd Material Science job openings in Texas as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 74% Full Time, 21% Part Time, and 3% Contract. Highlights an 80% Physical, 3% Hybrid, and 17% Remote job distribution.

RESEARCH ENGINEER - SR. RESEARCH ENGINEER - Computational Materials Integrity (NASGRO)

Southwest Research Institute - Fulltime

San Antonio, TX • On-site

Other

Posted 10 days ago


Southwest Research Institute rating

8.9

Company rating: 8.9 out of 10

Based on 22 frontline employees who took The Breakroom Quiz

8th of 73 rated research


Job description

Who We Are: We develop and apply advanced computational methods to assess the performance of a variety of engineering materials that are used in a wide range of systems with a particular focus on estimating the life and reliability of high-consequence engineering applications. We seek candidates skilled in continuum mechanics to support NASGRO software development for fatigue crack growth and fracture of metallic materials under sustained and cyclic loading. Most relevant technical areas include damage tolerance, computational mechanics, and computational material science, and fatigue and fracture. Objectives of this Role: Join our team to perform fundamental and applied research through the development of advanced fatigue crack growth for material and structural integrity assessments. Help manage our established software codebase and provide guidance on the technical solutions to solve problems related to practical fatigue crack growth, fracture, and structural integrity assessments. Work within a large team and a software operations framework to write integrate, compile, text and debug source code to support long-term, commercial software programs. Apply principles in advanced continuum mechanics, numerical methods, materials science, and applied mathematics to solve unique problems using the modern Fortran programming language. Build and apply skills to support contract research programs, develop new technology areas, and interact with government and commercial clients. Daily and Monthly Responsibilities: Provide technical leadership toward the ongoing development and enhancement of fatigue crack growth software program NASGRO®. Coordinate accuracy, precision, and consistency test campaigns of predictions implemented within high-criticality commercial software. Drive the development of new practical methods to perform damage tolerance assessments. Champion innovations focused on reducing memory footprint, optimizing computational efficiency, and streamlining the analysis of large datasets. Oversee the resolution of user-reported issues by identifying root causes and implement fixes in a timely manner. Interact with a larger development team to coordinate issue resolution within a large, interconnected, and legacy codebase. Collaborate with clients, stakeholders, and development teams to align the software’s documentation, usage, and evolution with industry demands. Lead reports and papers on new technical solutions. Lead tasks and projects to completion, ensuring they are delivered within scope, budget, and schedule constraints. Drive improvement initiatives to optimize software development and execution. Requirements: Requires a Masters or a PhD in Mechanical Engineering, Materials Science and Engineering, Structural Engineering, Computational Mechanics, Theoretical and Applied Mechanics, Aerospace Engineering, Engineering Mechanics, or similar engineering degree. Those with a Master require 1 year of related professional experience, those with a PhD do not require any industry experience. 1-5 years: Experience and/or training in fracture mechanics, fatigue crack growth assessment, continuum mechanics, materials science, applied mechanics, applied mathematics, and mechanical behavior of engineering metals. 0-5 years: Experience and/or training in software development processes for scientific computing, including version control, optimization, software verification, relevant programming languages, and programming assisted by ML/AI tools. 0-5 years: Experience in stress-intensity factor solutions, weight function methods, fatigue crack growth algorithms, time-dependent crack growth, small-crack growth mechanisms, threshold, shakedown, rainflow, environmental fatigue, and multi-point computational fracture mechanics. 0-5 years: Experience in customer issue resolution, supporting for legacy code and application programming interfaces, and using ML/AI tools to streamline software development, sustainment, documentation, and verification. A valid/clear driver's license is required.

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