PhD position in machine-learning-based circuit creation 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 valorisation 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.
This PhD position 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.
Master in Electrical Engineering, Master in Nano Engineering or Master in
Computer Science with proven knowledge of analog/mixed-signal integrated
electronic circuits besides the mastering of programming/CAD/AI techniques.
Good mastering of spoken and written English.
The position offers a PhD scholarshipfor 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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