ERC PHD POSITION IN ML/AI-BASED CIRCUIT CREATION OF ANALOG INTEGRATED CIRCUITS
Last modification : Tuesday, November 23, 2021
The PhD/postdoc research will be carried out under the guidance of Prof. Georges Gielen (https://www.esat.kuleuven.be/micas/index.php/georges-gielen), who was awarded the AnalogCreate ERC Advanced Grant and who is an expert in the design and design automation of analog/mixed-signal integrated electronic circuits. 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 valorization activities in integrated electronics (https://www.esat.kuleuven.be/micas/). MICAS has over 80 researchers (postdocs and PhD students) from many different countries and offers a dynamic, thriving and interdisciplinary environment on a wide portfolio of research projects.
Within the frame of the ERC Advanced Research Grant “AnalogCreate” (https://www.kuleuven.be/english/research/EU/p/horizon2020/es/erc/analogc...) of Prof. Georges Gielen, several PhD positions and one postdoc position are available. Analog,mixed-signal and RF electronic circuits are essential in many applications like IoT, biomedical, automotive, etc. Yet, their design remains time consuming and error prone due to the analog complexity and the lack of automation. The overall goal of the AnalogCreate ERC AdG research program is to drastically increase the productivity, optimality and correctness of designing integrated analog electronic circuits. The novelty of the research is to explore and apply innovative algorithmic techniques, including AI and machine learning, to do this. Emphasis is on the autonomous self-learning of the design constraints.
This job opening covers a PhD research position (4 years) in the frame of the AnalogCreate ERC project. The candidate will investigate and explore novel techniques from machine learning and artificial intelligence (AI) towards the automated creation of new circuit topologies from the target specifications. Challenge is in making the new circuits trustworthy under all operating conditions. The candidate will have to prototype and validate the methods on actual designs.
Candidates should have a strong expertise in (analog/mixed-signal) IC design and computer algorithms (in particular methods of optimization and machine learning/artificial intelligence).
Additional research/development experience in any of the following topics is a plus:
hands-on experience in programming
hands-on experience in design of (analog/mixed-signal) integrated circuits
hands-on experience with methods of optimization and/or machine learning/AI
Candidates should be motivated, independent, show critical thinking and scientific curiosity, and should have strong team-player skills.
Required background: Master inElectrical Engineering, Master in Nano Engineering or Master in ComputerScience with proven knowledge of analog/mixed-signal integrated electroniccircuits besides the mastering of programming/CAD/AI techniques.
Excellent proficiency in the Englishlanguage is required, as well as good communication skills, both oral andwritten.
The position offers :
A PhD scholarship for 4 years, with a competitive monthly stipend;
An exciting interdisciplinary research environment at KU Leuven, Europe’s most innovative university;
The possibility to participate in international conferences and collaborations;
The possibility to interact with industry.
Interested applicants should submit a motivation letter with a statement why this project fits with your expertise, a curriculum vitae, the names and contact information of 2 references.
Please do not postpone submitting your application until the deadline. Applications are monitored continuously, and it could be that the vacancy closes before its end date once a candidate has been found.
For more information please contact Prof. dr. ir. Georges Gielen, tel.: +32 16 324076, mail: firstname.lastname@example.org.
You can apply for this job no later than January 02, 2022 via the online application tool
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