Particle Science (Defect) Co-op

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Applied Materials

We deliver material innovation that changes the world.

10,001+ employeesFounded 1967Santa Clara, CASemiconductor Manufacturing
Actively hiringPaidWinter 2027Fall 2027Semiconductor Manufacturing
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Best applied by Nov 20

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About the role#

The Implant New Product Introduction Department is seeking a co-op to join the Particle Science team. This role focuses on developing particle defectivity learning, source identification methods, and mitigation strategies for ion implantation systems. You will gain hands-on experience by connecting materials science, surface analysis, wafer inspection, data analysis, and process engineering to address contamination-control challenges.

What you'll do#

  • Support particle science investigations, including source tracking, defect review, and correlating findings to process conditions, hardware, and materials interactions.
  • Manage focused experiments through test planning, wafer processing, inspection, metrology, sample handling, and documentation.
  • Analyze inspection and characterization data to identify trends and compare process conditions.
  • Integrate experimental observations with computational modeling to develop mechanistic insights into ion beam-material interactions.
  • Lead a small development project centered on particle reduction, contamination control, or process learning.
  • Collaborate with process, hardware, and lab teams to communicate results through technical summaries, charts, and presentations.

What you'll need#

  • Current enrollment in a Master’s or Ph.D. program in Materials Science, Chemical Engineering, Mechanical Engineering, Physics, Chemistry, or a related field.
  • Good academic standing with a preferred GPA of 3.0 or higher.
  • Interest in semiconductor processing, particle contamination, defectivity reduction, or materials characterization.
  • Ability to document work clearly, learn quickly, and work safely in a laboratory setting.
  • Experience with wafer inspection, optical/SEM review, metrology, surface analysis, or cleanroom processing is preferred.
  • Proficiency in data analysis or programming tools like Python, MATLAB, JMP, or Excel is preferred.
  • Familiarity with computational methods such as molecular dynamics, density functional theory, or machine learning is a plus.

Location & details#

  • Location: Gloucester, Massachusetts.
  • Term: Winter 2027 or Fall 2027.
  • Modality: Full-time, on-site.

About Applied Materials

Applied Materials operates in the semiconductor manufacturing industry. The company produces equipment for materials engineering and flat panel display manufacturing. It was founded in 1967 and maintains its headquarters in Santa Clara, California. The organization employs over 32,000 people.

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