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Reliability Data Analysis Intern

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Coherent Corp

1mo ago

🚀 Off-cycle Internship


AI generated summary

  • You should have a background in Material Science or Statistics, experience in analyzing large data sets, skills in JMP/Minitab/Matlab, and an interest in semiconductor reliability and FIT/DPPM calculations for this internship.
  • You will analyze wearout and random FIT data for semiconductor devices, fit reliability degradation models to electro optical measurements, derive critical parameters, calculate FIT estimates, and summarize findings in PowerPoint for diverse audiences.

Off-cycle Internship



  • Coherent is a global leader in lasers, engineered materials and networking components. We are a vertically integrated manufacturing company that develops innovative products for diversified applications in the industrial, optical communications, military, life sciences, semiconductor equipment, and consumer markets. Coherent provides a comprehensive career development platform within an environment that challenges employees to perform at their best, while rewarding excellence and hard-work through a competitive compensation program. It's an exciting opportunity to work for a company that offers stability, longevity and growth. Come Join Us!


  • Interest in:
  • Semiconductor device reliability
  • Physics of Failure
  • Making sense of noisy data
  • FIT/DPPM calculations.
  • Education & Experience:
  • Undergraduate or Graduate Material Science or Statistics major.
  • Undergraduate statistics course.
  • Comfortable analyzing large data sets.
  • JMP/minitab/matlab data analysis, graphing, and curve fitting.

Education requirements

Currently Studying

Area of Responsibilities



  • Analyze wearout and random FIT data for different class of semiconductor devices.
  • Fit reliability degradation models to electro optical measurements
  • Derive critical parameters which influence degradation in optical semiconductors.
  • Calculate random and Wearout FIT estimates for electro-optical semiconductor ICs.
  • Summarize your findings in a powerpoint files for diverse audiences.


Work type

Full time

Work mode