ERC Postdoc position in ML/AI-based synthesis and verification of analog/mixed-signal integrated circuits

analog/mixed-signal integrated circuits

(ref. BAP-2023-93)

Last modification : Thursday, February 16, 2023

The 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.

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Within the frame of the ERC Advanced Research Grant “AnalogCreate” (https: // www. kuleuven.be/english/research/EU/p/horizon2020/es/erc/analogcreate) 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 postdoc research position (3 years, possibly extendible) within the frame of the AnalogCreate ERC project. The candidate will contribute to investigating and developing self-learning algorithms towards the automated synthesis of analog circuits. She/he will have to prototype and validate the methods on actual designs. She/He will also take responsibility in the overall coordination and feasibility demonstration of the AnalogCreate project in interaction with the PhD researchers in the ERC project.

Required background:

PhD in Electrical Engineering, PhD in Nano Engineering or PhD in Computer Science with proven experience in programming/CAD/AI/ML techniques and (analog/mixed-signal) integrated electronic circuits

Candidates should have a strong expertise in either (or preferrably in both) (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:

Candidates should be enthusiastic, motivated, independent, show critical thinking and scientific curiosity, and should have strong team-player skills.

Excellent proficiency in the English language is required, as well as good communication skills, both oral and written.

The position offers :

website of Prof. Georges Gielen

For more information please contact Prof. dr. ir. Georges Gielen, tel.: +32 16 32 40 76, mail: [email protected]

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