About this role
We are looking for a motivated Master’s student interested in semiconductor memory technology, reliability engineering, and data analysis. The project will investigate activation energy in embedded RRAM devices and develop a practical model for predicting retention lifetime. Candidate profile:
• Pursuing an MSc in Electrical Engineering, Applied Physics, Nanotechnology, Materials Science, Semiconductor Engineering, or a related discipline • Strong analytical skills and an interest in semiconductor device physics and reliability • Familiarity with statistical data analysis and scientific modeling • Experience with Python, MATLAB, or similar data-analysis tools • Ability to conduct an independent literature review and communicate technical findings clearly • Curious, structured, and comfortable working with experts in a multidisciplinary environment
More information about NXP in the Netherlands...
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