Collaborate with cross-functional process and equipment teams to implement process enhancements. Conduct root cause and failure mode analyses to identify limitations within current processes. Perform fundamental research to deliver innovative solutions for next-generation products. Execute statistical data analysis on pilot-scale technology development manufacturing lines. Demonstrated experience in experimental design and data analysis. Exemplary analytical skills and a creative approach to problem-solving. Expertise in resolving complex issues using root-cause analysis or model-based methodologies. Advanced proficiency in statistics, with an emphasis on statistical process control preferred. Strong ability to work autonomously, remaining focused on deliverables with minimal supervision. Proven capability to manage multiple projects concurrently. Programming or scripting experience is considered advantageous. Prior understanding of all semiconductor processing and some specialized expertise in at least one processing technique are preferred. Must be a current student, must not graduate before September 2026. Pursuing a Ph.D. or equivalent degree in Electrical Engineering, Mechanical Engineering, Materials Science, Chemical Engineering, Chemistry, Physics, or other related technical fields.
