Within the frame of the ERC Advanced Research Grant AnalogCreate (https://www.kuleuven.be/english/research/EU/p/horizon2020/es/erc/analogc... ), 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.
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