Junior Professorship for Test and Diagnosis of Semiconductor Systems

1^ST OCTOBER 2019
The professorship is installed to support the new Graduate School "Intelligent Methods for Semiconductor Test and Reliability" in cooperation with the company Advantest and has to perform research and coordination tasks within this industrial cooperation.

The university is searching for a dynamic and communicative researcher with good people skills who wants to explore a holistic vision for semiconductor test jointly with experts from industry. A holistic view covers the entire life cycle starting from design, wafer manufacturing, parametric tests, wafer test, final test, system level test to the online test in the field. The fundamental methods originate from statistical and machine learning as well as other fields of artificial intelligence. Possible candidates should have experience in some of the following fields:

• Test generation and optimization for digital, mixed-signal, analog or RF circuits and high speed I/O
• Post-silicon Validation und fault diagnosis
• Yield learning, reliability, functional safety, or security of semiconductor components
• Semiconductor applications from automotive, consumer electronic or communication
• Modeling, simulation and test at system level
• Test data analysis und visualization
• Test automation and workflows from design, fab to end users

The cooperation with Advantest opens the access to industrial data and problems within international networks and provides high international visibility. It is expected that the junior professor will contribute to teaching in Computer Science, in Electrical Engineering and Information Technology in the area of test and diagnosis.

The requirements for employment listed in § 51 Baden-Württemberg university law apply.

Written applications (including comprehensive CV, certificates, bibliography and the form found under http://www.f05.uni-stuttgart.de/open-positions should be sent no later than 30^th of April 2019, to the Dean of the Faculty of Computer Science, Electrical Engineering and Information Technology, Universität Stuttgart, Pfaffenwaldring 47, D-70569, Germany, preferably by email as a PDF - to dekanat@f05.uni-stuttgart.de. Please be aware of the risks regarding confidentiality and the integrity of your application contents when sending your application via unencrypted e-mail.

The University of Stuttgart has established a Dual Career Program to offer assistance to partners of those moving to Stuttgart. For more information, please visit the website https://www.uni-stuttgart.de/universitaet/arbeitgeber/dualcareer/