The newly established Graduate School “Intelligent Methods for Semiconductor Test and Reliability” (GS-IMTR) at the University of Stuttgart in cooperation with ADVANTEST invites applications for full-time doctoral positions initially for 3 years with a possible extension to 4 years (research assistant, TV-L 13) to begin as soon as possible in 2019.
GS-IMTR is an interdisciplinary graduate school combining research expertise from computer science, electrical engineering, information technology, and beyond. GS-IMTR is funded by ADVANTEST, a major global manufacturer of automatic test equipment for integrated circuits. Its overall aim is to develop new methods for topics such as design for test and diagnosis; post-silicon validation; test generation and optimization; robust device tuning; system-level test; lifetime test and reliability management; and test automation. A modern understanding of these topics demands novel artificial intelligence methods and has tight connections to data science, data analytics, data understanding, visualization, security, and privacy.
- University or Organization: University of Stuttgart
- Areas/Major: Electrical engineering, computer science, information technology, mathematics, physics,
- Course Level: PhD
- Award: Fully Funded
- Access Mode: Online
- Number of Awards: 4
- Nationality: International
- The program can be taken in Germany
- Application Deadline: 5
4 PhD Positions At University of Stuttgart, Germany
Under the supervision of:
Prof. Dr. Dirk Pflüger
Institute for Parallel and Distributed Systems, Simulation Software Engineering
Universitätsstr. 38, 70569 Stuttgart, Germany
Positions are being offered in a first call in the following research projects:
- Systematic Analysis of System-Level Test Fails (P1)
- Visual Analytics for Post-Silicon Validation (P2)
- Self-Learning Test Case Generation for Post-Silicon Validation (P3)
- Secure and Privacy-Preserving Semiconductor Testing (P4)
We provide an excellent research environment with the GS-IMTR, the cooperation with ADVANTEST, and within the respective institutes.
In the following, you can find a list of the first PhD positions to be installed:
Project 1: Systematic Analysis of System-Level Test Fails
Jens Anders and Ilia Polian
What we are looking for:
A successful candidate is expected to have in-depth knowledge in at least one of the areas listed below:
Test and diagnosis methods for digital microelectronics, esp. fault modeling, fault simulation, test pattern generation, design for testability
Modeling and simulation of failure mechanisms in advanced CMOS technology
Design of multi-processor systems on chip (MPSoCs)
Project 2: Visual Analytics for Post-Silicon Validation
Thomas Ertl, Steffen Koch, Daniel Weiskopf
We are looking for:
A motivated applicant with a very good master’s degree in computer science or related disciplines. The candidate should have strong programming skills. A background in visualization, data analysis, machine learning, or a combination thereof is beneficial.
Project 3: Self-Learning Test Case Generation for Post-Silicon Validation
What we are looking for:
MSc graduate in computer science, mathematics, data science, electrical engineering or a related field
Strong mathematical skills
Programming experience (preferably Python and/or C++)
Knowledge of dimensionality reduction, parameter identification, high-dimensional approximation, or inverse problems are an asset
Project 4: Secure and Privacy-Preserving Semiconductor Testing
The open positions are integrated into the GS-IMTR which provide
A structured, quality-assured and interdisciplinary education programme;
Subject-specific lectures and seminars for soft skills and interpersonal skills;
International networking during a stay at research institutes abroad.
Applicants should hold a master’s or equivalent degree in electrical engineering, computer science, information technology, mathematics, physics, or a related discipline with above-average results. They are expected to show a high level of proficiency in both spoken and written English.
How to Apply
Please send your application (cover letter, academic CV, letter of motivation indicating your favorite project(s), degree certificates and transcripts of records from Bachelor/Master, names of potential academic referees) either by post to Prof. Dr. Dirk Pflüger, Institute for Parallel and Distributed Systems, Universitätsstr. 38, 70569 Stuttgart, Germany, or electronically in a single PDF file (up to 10 MB) to firstname.lastname@example.org to arrive no later than September 5, 2019. As there will be a second call for further doctoral positions soon, later submissions might be taken into consideration.
The University of Stuttgart is an equal opportunity employer. Applications from women are especially encouraged. Severely challenged persons will be given preference in case of equal professional qualifications.