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Junior Professorship for Test and Diagnosis of Semiconductor Systems
University of Stuttgart
Junior Professorship for
Test and Diagnosis of Semiconductor Systems
1ST OCTOBER 2019
The professorship is installed to support the new Graduate School
"Intelligent Methods for SemiconductorTest 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 applications from automotive, consumer electronic
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 InformationTechnology 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 30th 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
email@example.com. Please be aware of the risks regarding confidentiality
and the integrity of your application contents when sending your
application via unencrypted e-mail.