Module Engineering - PhD Intern
Core
PhD intern supporting the development, optimization, and troubleshooting of semiconductor manufacturing processes for a specific module.
Role type
PhD intern, semiconductor process engineering
Builds
Semiconductor manufacturing processes and equipment performance
Domain
Semiconductor manufacturing / Materials Science
Required skills
Semiconductor process integration, Materials Science, Physics, Chemistry, Electrochemistry, Chemical Engineering, Statistical analysis, Experimental design, Materials characterization (SEM, TEM, Ellipsometry, AFM, XPS, FTIR), Fluidic systems, Python, MATLAB, JMP, Machine Learning
Preferred skills
Data analysis, Process optimization, Chemical reaction kinetics, Wet etching, Surface chemistry, Thin-film characterization, Automated fluidic systems, DOE, Multivariate statistical analysis
Responsibilities
Support development and optimization of semiconductor manufacturing processes, Sustain and improve manufacturing equipment performance, Troubleshoot equipment issues and perform qualification activities, Collaborate on process control methodologies, Apply statistical analysis and experimental design, Gain hands-on experience with materials characterization techniques
Seniority
Intern