Internship Opportunity: Computational Materials Science

Applied MaterialsSanta Clara, CA
Hybrid

About The Position

Applied Materials is a global leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. We design, build and service cutting-edge equipment that helps our customers manufacture display and semiconductor chips – the brains of devices we use every day. As the foundation of the global electronics industry, Applied enables the exciting technologies that literally connect our world – like AI and IoT. If you want to push the boundaries of materials science and engineering to create next generation technology, join us to deliver material innovation that changes the world. You’ll benefit from a supportive work culture that encourages you to learn, develop, and grow your career as you take on challenges and drive innovative solutions for our customers. We empower our team to push the boundaries of what is possible—while learning every day in a supportive leading global company. Visit our Careers website to learn more. At Applied Materials, we care about the health and wellbeing of our employees. We’re committed to providing programs and support that encourage personal and professional growth and care for you at work, at home, or wherever you may go. Learn more about our benefits . We are seeking highly motivated interns with a strong interest in Computational Materials Science for an intensive 10‑week research internship starting immediately . Interns will work closely with experienced scientists on cutting‑edge problems in materials modeling and simulation, contributing to active research projects relevant to advanced materials and device technologies.

Requirements

  • Currently pursuing or recently completed a BS, MS, or PhD in Materials Science, Physics, Chemistry, or a related field
  • Background in computational materials science
  • Experience with at least one of the following: DFT codes (VASP, Quantum ESPRESSO, Gaussian, etc.) Molecular dynamics (LAMMPS, ASE) Python or similar scientific programming languages
  • Familiarity with Linux/HPC environments is a plus

Responsibilities

  • Perform atomistic and electronic‑structure simulations
  • Analyze materials properties using first‑principles (DFT), classical MD, or ML‑based models
  • Assist in workflow development, data analysis, and interpretation of results
  • Document findings and present results to the research team
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