You will work in a very dynamic and innovative environment. The PhD supervisor is Prof. Georges Gielen, who is a worldwide expert in the design and design automation of analog/mixed-signal integrated circuits. The project will run in collaboration with industry for the demonstrator circuits used. The work will be performed in the ESAT-MICAS (Microelectronics and Sensors) research group at the Department of Electrical Engineering (ESAT) at KU Leuven, Europe’s most innovative university (Reuters, since 2016 till now). ESAT-MICAS is internationally renowned for its wide range of research, education and valorisation activities in integrated electronics. MICAS has over 80 researchers (postdocs and PhDs) from many different countries and offers a dynamic, thriving and interdisciplinary environment on a wide portfolio of research projects.
Many emerging electronic applications, such as smart autonomous systems (e.g. cars) and the internet of things (IoT), rely on analog and mixed-signal (AMS) circuits to interface with the physical world (e.g. sensors, radios, etc.). Examples are fields like automotive, biomedical, industry 4.0/5.0, etc. These applications however come with extremely demanding reliability and robustness requirements: no defective chips may be delivered to customers and no circuits may fail undetectedly. This must be addressed at IC design time (pre-fabrication), at IC test time (post-fabrication) and at execution run time (during IC usage). Due to their nature and sensitivity, however, the analog parts of AMS systems require significantly more testing effort than the digital parts.
This PhD will investigate and explore the emerging capabilities of developing and applying novel algorithmic techniques towards the efficient and automated test generation for analog integrated circuits. This includes exploring techniques from machine learning (ML) and artificial intelligence (AI). Self-testing and detection of outlying behavior will be a major focus to maximize test coverage further. Self-test solutions towards real-time monitoring and on-chip signal interpretation in the IC will also be investigated. Reuse of analog IP blocks and the corresponding test programs will be a solution to master the design complexity. The PhD work will involve the development and application of novel algorithms and computer-aided techniques, including AI/ML, to the testing and test generation of analog/mixed-signal integrated circuits in close collaboration with an industrial partner.
The position offers :
For more information please contact Prof. dr. ir. Georges Gielen, mail: georges.gielen@kuleuven.be, tel.: +32 16 32 40 76.
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