RESEARCH FIELDComputer science › Modelling toolsEngineering › Electronic engineering
RESEARCHER PROFILEFirst Stage Researcher (R1)
APPLICATION DEADLINE10/08/2019 23:59 - Europe/Brussels
LOCATIONBelgium › Leuven
TYPE OF CONTRACTPermanent
HOURS PER WEEK38
Many emerging electronic applications, such as the internet of things (IoT) or smart autonomous systems, 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, etc. Computation in the edge and embedded intelligence are becoming standard practice. In addition, these applications come with extremely demanding reliability and robustness requirements: the circuits may not fail undetectedly. This must be addressed at IC design time (pre-fabrication), at IC test time (post-fabrication) and at run time (during IC usage). Due to their nature and sensitivity, however, the analog parts of AMS systems require significantly more testing effort, compared to their size.
This PhD will therefore investigate and explore the emerging capabilities of novel techniques from machine learning and artificial intelligence (AI) towards the efficient testing and test generation for analog integrated circuits. Detecting outlying behavior will be a major focus to maximize test coverage. Also, solutions towards real-time monitoring and signal interpretation in the edge will be investigated.
The PhD work will involve the development of novel machine learning/AI techniques and algorithms, and their application to the testing of analog/mixed-signal electronic integrated circuits.
The position offers a PhD scholarship for 4 years.
Required background: Master in ElectricalEngineering or Master in Computer Science with proven knowledge of programming/CAD and of analog/mixed-signal integrated circuits.
For more information, please contact Prof. dr. ir. Georges Gielen, tel.: +32 16 32 40 76, mail: firstname.lastname@example.org.
You can apply for this job no later than 10/08/2019 via the online application tool
Web site for additional job details
EURAXESS offer ID: 426782
The responsibility for the jobs published on this website, including the job description, lies entirely with the publishing institutions. The application is handled uniquely by the employer, who is also fully responsible for the recruitment and selection processes.
Please contact email@example.com if you wish to download all jobs in XML.