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Materials Science Phd Internship Jobs (NOW HIRING)

Docugami

Data Science PhD Intern

Kirkland, WA · On-site

We're now looking for AI, NLP, Machine Learning, Data Science, and Math PhD Interns to work alongside our world-renowned science and engineering team to create a revolutionary product. We are looking ...

Docugami

Data Science PhD Intern

Kirkland, WA

We're now looking for AI, NLP, Machine Learning, Data Science, and Math PhD Interns to work alongside our world-renowned science and engineering team to create a revolutionary product. We are looking ...

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Materials Science Phd Internship information

What is a Materials Science PhD Internship?

A Materials Science PhD Internship is a temporary position designed for doctoral students specializing in materials science to gain practical, hands-on experience in industry, research institutions, or national laboratories. Interns typically work on projects related to developing, analyzing, or testing new materials and processes, often using advanced characterization or computational techniques. These internships provide valuable exposure to real-world applications of their academic work, help build professional networks, and often lead to full-time job opportunities after graduation.

Can PhD students get internships?

Yes, PhD students can pursue internships related to materials science to gain practical experience, develop research skills, and enhance their resumes. Many internships are available through industry partnerships, research institutions, and academic programs, often requiring a strong background in laboratory techniques, data analysis, and relevant software tools.

What can I do with a PhD in Materials Science?

A PhD in Materials Science prepares individuals for careers in research and development, academia, or industry, focusing on developing new materials or improving existing ones. Graduates often work in sectors such as aerospace, electronics, energy, or manufacturing, utilizing skills in characterization techniques, materials testing, and data analysis. The role of a Materials Science PhD intern involves applying advanced knowledge to solve complex material challenges and often requires familiarity with laboratory tools and research methodologies.

Is a 3.0 GPA good for internships?

For a Materials Science PhD internship, a 3.0 GPA is generally considered acceptable but may be below the preferred range, as many research-focused internships often look for higher GPAs. Strong academic performance, research experience, and technical skills can be more important than GPA alone. Applicants with a GPA around 3.0 should emphasize relevant coursework, projects, and laboratory skills to strengthen their application.

How much does a PhD in Materials Science make?

A PhD in Materials Science typically earns between $70,000 and $120,000 annually, depending on experience, industry, and location. Internships in this field often offer stipends or hourly wages that can range from $20 to $40 per hour, providing valuable research experience and skill development.

What are the key skills and qualifications needed to thrive as a Materials Science PhD Intern, and why are they important?

To thrive as a Materials Science PhD Intern, you need a solid grounding in materials characterization, data analysis, and experimental design, supported by advanced coursework or ongoing doctoral studies in materials science or a related field. Familiarity with laboratory instruments such as SEM/TEM, XRD, and software tools like MATLAB or Python is often expected. Strong problem-solving abilities, effective communication, and collaboration skills distinguish successful interns in research environments. These competencies are vital for contributing to innovative projects, generating reliable results, and integrating effectively with multidisciplinary teams.

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

AspectMaterials Science Phd InternshipMaterials Engineer
Required CredentialsPhD or pursuing PhD in Materials Science or related fieldBachelor's or Master's in Materials Science or Engineering
Work EnvironmentResearch labs, academic institutions, corporate R&DManufacturing plants, design offices, industrial facilities
Employer & Industry UsageResearch-focused roles in academia, industry, governmentProduct development, quality control, manufacturing in industry

The Materials Science Phd Internship is primarily research-oriented, focusing on advanced studies and experimental work, often in academic or corporate R&D settings. In contrast, a Materials Engineer applies practical engineering principles to develop, test, and improve materials in industrial environments. Both roles require knowledge of materials properties, but the internship emphasizes research and academic growth, while the engineer role centers on application and production.

What types of projects and research topics can I expect to work on during a Materials Science PhD Internship?

During a Materials Science PhD Internship, you can expect to engage in hands-on research projects that align with current industry or academic priorities, such as materials characterization, nanomaterials development, or advanced manufacturing techniques. Interns often collaborate closely with multidisciplinary teams, including engineers, chemists, and product developers, to solve real-world problems and contribute to ongoing R&D initiatives. You may also have opportunities to work with specialized equipment and analytical tools, participate in technical meetings, and present your findings. This immersive experience not only enhances your technical skills but also provides valuable exposure to professional work environments and networking opportunities.
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Infographic showing various Materials Science Phd Internship job openings in the United States as of June 2026, with employment types broken down into 3% As Needed, 77% Full Time, and 20% Part Time. Highlights an 90% Physical, 4% Hybrid, and 6% Remote job distribution.
Data Science PhD Intern

Data Science PhD Intern

Docugami

Kirkland, WA • On-site

Internship

Posted yesterday

Job description

Docugami uses powerful artificial intelligence to unlock the information contained in highly varied, unstructured business documents. Business users, without IT or development projects, can immediately create custom analysis of vital document content and information from large batches of contracts, can assist users in creating new documents more efficiently and consistently, and can automatically connect information from within documents to other business systems.
Docugami started with years of R&D, and has received a $10M seed round of VC funding as well as multiple endorsements from industry leaders and publications. The founders are seasoned ex-Microsoft engineers and leaders, some already well known in the software industry for their record of building and running $1B+ innovative software product businesses.
We're now looking for AI, NLP, Machine Learning, Data Science, and Math PhD Interns to work alongside our world-renowned science and engineering team to create a revolutionary product. We are looking for exceptional researchers to work with our luminary science advisers on major scientific breakthroughs.
You will love this job if:
  • You love solving really challenging problems
  • You seek opportunities to see your research deployed in practice to solve real world problems
  • You enjoy working at the very cutting edge of R&D
  • You want to experience an early stage startup

What you'll be responsible for:
  • Researching and proposing solutions to the different science problems in an evolving environment
  • Collaborating with engineering and product leadership to prioritize a long-term roadmap of science breakthroughs
  • Working with the engineering team who will be responsible for integrating and deploying your work in production
  • Conducting regular internal science reviews

What we look for in a candidate:
  • Pursuing a PhD in artificial intelligence, natural language processing, machine learning, data science, or math
  • Experience or strong interest in any of the following: natural language processing, machine translation, self-supervised learning, active learning, computer vision, statistics, causal inference, and other related disciplines
  • Programming skills and familiarity of modern ML frameworks
  • Strong problem-solving and time management skills
  • Strong communication skills and capacity to report and disseminate results
  • Passion for scientific and technical excellence

Perks:
  • Competitive pay
  • Healthy snacks stipend
  • Work closely with a cross-functional team of highly motivated folks with a unique range of startup, big enterprise, scientific, engineering, sales & marketing experience
  • Vibrant and inclusive company culture with frequent team-building events

About Us:
Docugami is a Seattle-area document engineering startup that transforms how businesses create and manage documents for greater productivity, compliance, and insight using breakthrough artificial intelligence. Founded in March 2018 by former senior engineering leaders from Microsoft, Docugami harnesses a wide range of artificial intelligence techniques, including natural language processing, image recognition, declarative markup, and other approaches, to enable businesses of all sizes to radically improve how they create and manage documents for greater insight, efficiency, and business impact.
Learn more at www.docugami.com
We welcome people of different backgrounds, experiences, abilities and perspectives and are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We are committed to an inclusive and diverse team.

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