Post-doc in Ising processor architectures and chip design

at  KU Leuven

POST-DOC IN ISING PROCESSOR ARCHITECTURES AND CHIP DESIGN

(ref. BAP-2024-682)
Laatst aangepast: 21/10/24
MICAS is a research group within the department of Electrical Engineering (ESAT) of the University of Leuven (KU Leuven).
MICAS conducts research on the design of integrated circuits in nano-electronic technologies. This research is performed in close collaboration with the semiconductor industry and about 75% of the groups’ budget is through industrial collaborations.
The staff members of MICAS are: Prof. Wim Dehaene, Prof. Georges Gielen, Prof. Bob Puers, Prof. Patrick Reynaert, Prof. Michiel Steyaert, Prof. Filip Tavernier and Prof. Marian Verhelst. In total, there are 75 Ph.D. researchers working within MICAS. As such, KU Leuven ESAT-MICAS is the largest academic circuit-level research group within Europe. MICAS tapes out dozens of chips every year, and possesses a top notch chip bonding, packaging and measurement lab.
More information about the group and its activities can be found at http://www.esat.kuleuven.be/micas/
Website van de eenheid

PROFILE

• Candidates must hold a PhD degree in Electrical Engineering (or equivalent), with a background in digital implementations or processor design.
• Additional research/educational experience in computer architectures, memory design, machine learning and chip tape out are a strong plus.
• We are looking for a team player with the capability to work in an international research team.
• Excellent proficiency in the English language is also required, as well as good communication skills, both oral and written

We want to expand our team with a post-doctoral researcher on resource-efficient implementations of near/in-memory machine learning processors, focused around Ising processing.
Ising machines are quickly gaining interest as an alternative processing paradigm to solve constraint optimization problems. They form an interesting complement to the current trend of deep learning processors, to better enable reasoning and planning tasks. In the micro-electronics research domain this has sprouted attention on customized processors for efficient Ising processing.
Our team has a very strong track-record on machine learning processors. We will build upon our expertise in hardware/algorithm co-optimization and near-/in-memory computation, to propose new Ising architectures and implement them on chip.
In this project, we closely collaborate with researchers from other teams inside KU Leuven, researchers from Imec, from various international research groups and from partner companies.
The Post-doc will have ample opportunities to interact with top research institutes and important industrial players in the field.