1. Research new statistical methodology for next generation iEDA capability
2 .Benchmark outside vendors & leverage school program for new technology engineering data analysis challenges
3. Provide technical services of yield systems, yield analysis to all organizations
4 .Develop iEDA (Engineering Data Analysis) system’s new features.
5. Provide customer service & complaint handling by systematic solution.
1. MST / PHD, Information Engineering,Computer Science, statistics related
2. Familiar with engineering data analysis & statistical applications.
3. Excellent project management, x-organization communication, & presentation skill.
4. Familiar with IT program language or statistics analysis skills (e.g. .NET, Java, SAS, JMP, Big Data, SQL, database)
5. Willing to take challenge & have innovation.