Intern - Surface Lab

Micron•Boise, ID

About The Position

Micron’s Surface Science team applies modern analytical techniques to materials and processes to advance semiconductor device development. Working across process development and laboratory functions, the team supports innovation in memory technology through surface characterization and analysis. As a Surface Scientist Intern, you will contribute to next-generation memory solutions by applying surface science techniques to semiconductor devices and thin-film materials. The internship provides hands-on experience with advanced instrumentation and collaborative research projects focused on improving sample preparation and characterization methods.

Requirements

  • Currently pursuing a Master's or PhD in Electrical Engineering, Materials Science, or Chemistry.
  • Will not graduate prior to September 2027.
  • Working knowledge of analytical instrumentation such as nanomechanical, thermal mechanical, XPS, SIMS, FIB, SEM, and electrical characterization techniques.
  • Familiarity with data analysis software and digital productivity tools.
  • Interest in learning and applying AI-enabled tools to scientific research, data analysis, technical communication, coding, technical writing, literature research, or process optimization.
  • Strong technical, communication, analytical, and problem-solving skills.
  • Passion for learning and problem-solving in a collaborative environment.

Nice To Haves

  • Experience with surface science techniques in a semiconductor or research setting.
  • Ability to present complex technical information to diverse audiences.
  • Familiarity with laboratory operations, measurement strategies, and data-driven decision making.
  • Creativity in applying scientific and digital tools to novel challenges.
  • Ability to work independently and contribute to team-based projects.

Responsibilities

  • Partner with Surface Scientists to evaluate and enhance sample preparation and analysis techniques.
  • Collaborate with cross-functional teams to analyze data, identify process improvement opportunities, and use AI-assisted tools to accelerate data interpretation and insight generation.
  • Innovate and refine characterization techniques using existing analytical tools and emerging digital capabilities.
  • Use AI-enabled productivity and research tools for literature reviews, data organization, technical documentation, and workflow efficiency.
  • Participate in technical meetings to explore new approaches, technologies, and opportunities for continuous improvement.
  • Document research findings in reports, presentations, and technical summaries using modern digital and AI-assisted communication tools.

Benefits

  • Medical, dental, and vision plans.
  • Benefits that help protect income in the event of illness or injury.
  • Paid family leave.
  • Paid time off.
  • Paid holidays.
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