PhD position in machine-learning-based automated synthesis of analog/mixed-
signal integrated circuits
Last modification : Wednesday, July 28, 2021
This PhD 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 research will take place in the ESAT-MICAS (Microelectronics
and Sensors) research group at KU Leuven, which is internationally renowned
for its wide range of research, education and valorization activities in
integrated electronics (https: // www. esat.kuleuven.be/micas/).
Within the frame of the ERC Advanced Research Grant AnalogCreate
(https: // www. kuleuven.be/english/research/EU/p/horizon2020/es/erc/analogcreate),
several PhD positions and one postdoc position are available. While analog and
RF electronic circuits are essential in many applications like IoT,
biomedical, automotive, etc., their design remains time consuming and error
prone due to their complexity and lack of automation. The overall goal of the
AnalogCreate research program is to drastically increase the productivity,
optimality and correctness of designing integrated analog electronic circuits
by investigating and applying innovative algorithmic techniques, including AI
and machine learning. Emphasis is on the autonomous self-learning of the
design constraints and expertise.
This PhD position will investigate and explore novel techniques from machine
learning and artificial intelligence (AI) towards the automated synthesis of
analog and mixed-signal integrated circuits. Focus is either on circuit sizing
and/or on circuit layout. Challenges in the research are in the self-learning
and auto-extraction of the design constraints and design expertise needed to
obtain trustworthy, high-quality synthesis results.
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.
Good mastering of spoken and written English.
The position offers a PhD scholarship for 4 years.
For more information please contact Prof. dr. ir. Georges Gielen, tel.: +32 16
32 40 76, mail: firstname.lastname@example.org.
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