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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.

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.

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.

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Materials Science Phd Internship jobs near you
Infographic showing various Materials Science Phd Internship job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, 1% Temporary, 2% Contract, and 1% Nights. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution.

Materials Science PhD - AI Evaluator

San Francisco, CA • On-site, Remote

Mercor
See more jobs at Mercorexternal

$70/hr

Full-time

Posted 5 days ago

Job description

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: Material Science PhD Coding Experts
Type: Contract
Compensation: $70/hour
Location: Remote
Duration: 6 weeks
Commitment: 20+ hours/week

Role Responsibilities

  • Source material from published papers, Kaggle datasets, open-source repositories, or designed scenarios.
  • Write scientific prompts based on sourced input to challenge AI models.
  • Build grading criteria to define correct answers for scientific tasks.
  • Calibrate tasks against frontier models, ensuring tasks ship only when strong models fail more often than succeed.
  • Work independently and asynchronously to meet deadlines and improve AI model performance.

Qualifications

Must-Have

  • PhD in materials science, materials engineering, applied physics, chemistry, chemical engineering, or a closely related field.
  • Demonstrated depth in semiconductor materials and molecular modeling.
  • Working proficiency in Python, R, or another relevant programming language for scientific computing.
  • Comfortable with Git/GitHub and running code in Docker.

Preferred

  • Publications in peer-reviewed journals.
  • Prior scientific software or research engineering experience.

Start Date

  • Immediate

Interview Process

  • Upload your resume and application form.
  • A 25-minute conversational interview covering your background, experience, and motivations.
  • Follow up within a few days with next steps and onboarding.

Application Process (Takes 20–30 mins to complete)

  • Upload resume
  • AI interview based on your resume
  • Submit form

Resources & Support

  • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
  • For any help or support, reach out to: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.