(Bachelor / Master) Influencing factors in semiconductor manufacturing

(Bachelor / Master) Influencing factors in semiconductor manufacturing || Date: June 7th, 2021

Within the framework of the iDev40 project, we are working on yield prediction in semiconductor manufacturing using AI methods. A wafer wafer goes through hundreds of individual process steps during production. In the process, different types of data are generated and the goal is to predict the yield with the help of AI methods. Yield is the number of functioning chips in relation to all chips on a wafer. 

Various studies have shown that the yield differs significantly for different devices, even though these devices pass through the same machines during production. The task of this work would be to identify the factors that lead to these poorer yields for these devices (preferably also using AI methods), programmed in R, and to design possible solution strategies. For this purpose, the exact sequence of manufacturing steps of these devices have to be compared with the sequences of other devices and the results will be evaluated. 

Recommended: Experience in R programming

Date: June 7th, 2021

Contact: Rebecca Busch, Michael Wahl