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I am hiring!
Postdoc and PhD Positions in IC design are available at the National University of Singapore (NUS). I am looking for outstanding candidates who are passionate about advancing research in ICs and systems design.
If you are interested in these positions, please send your CV and a brief presentation summarizing your work during your PhD or MSc to the following emails address (https://6emails.com/job/phd-and-postdoc-positions-in-integrated-circuits-and-systems-design/).
Welcome to the Integrated Circuits and Systems Design Lab (ICSDL)! We focus on high-performance mixed-signal integrated circuit (IC) design and silicon-level verification, emphasizing innovation at the analog-to-digital (A/D) and digital-to-analog (D/A) interfaces. Our approach involves signal conditioning and feature extraction at the front end, combined with a computational backend for algorithm-circuit co-design. Based on this approach, our research interests are as follows:
1) High-density, high-channel-count implantable neural interface for future smart brain-computer interfaces
2) High-performance data converters for future wireless communication systems
3) Smart sensor interfaces with embedded machine learning
Dr. Jang Moonhyung received the B.Sc. (summa cum laude, top honor) and Ph.D. degrees in the Department of Electrical and Electronic Engineering (EEE) from Yonsei University, Seoul, South Korea, in 2014 and 2021, respectively. In 2019, he was also with the Institute of Microelectronics, University of Ulm, Ulm, Germany, as a Visiting Scholar. His Ph.D. research focuses on integrated circuits (ICs) design, including data converters, precision analog circuits, and sensor interfaces. His research on data converters developed a high-resolution, low-power, audio band continuous-time delta-sigma analog-to-digital converter (ADC) that achieved the world’s best energy efficiency published to date.
After earning his Ph.D., he joined the Electrical Engineering Department at Stanford University and became part of Prof. Boris Murmann’s Mixed-Signal Group as a postdoctoral research fellow. He applied his expertise to develop high-density, high-channel-count implantable neural interface IC for future high-bandwidth brain-computer interfaces (BCIs). As a result, his research on neural interface IC achieved the world’s best energy efficiency and is the world’s first single-cell resolution neural interface with the smallest area per channel. During this period, he was part of an interdisciplinary effort, the Department of Neurosurgery, Stanford, which is not only developing an artificial retina for blind patients but also has broader implications for BCI in general.
Since 2024, he has been with the Department of Electrical and Computer Engineering (ECE) at the National University of Singapore (NUS), Singapore, where he is currently an Assistant Professor. His current research at NUS aims to develop: 1) high-performance data converters for various applications, especially for future wireless communication systems to deliver energy and cost-efficient 5G and 6G solutions; 2) high-bandwidth, single-cell resolution implantable neural interface ICs for future smart BCI systems focusing on the restoration of natural functionality from various kinds of neurological disorders; 3) smart sensor interfaces and various high-performance mixed-signal integrated circuits and systems.
Dr. Jang has authored over 18 peer-reviewed journal and conference papers before joining NUS, including 14 papers published in the top conferences and journals in the IC design field (IEEE International Solid-State Circuits Conference, IEEE Symposium on VLSI Circuits, and IEEE Journal of Solid-State Circuits). He has served as a reviewer for the IEEE Journal of Solid-State Circuits (JSSC), IEEE Solid-State Circuits Letters (SSC-L), IEEE Transactions on Circuits and Systems II (TCAS II), and IEEE Transactions on Very Large-Scale Integration Systems (TVLSI). He was the recipient of the 2020-2021 IEEE Solid-State Circuits Society Predoctoral Achievement Award, the 2020 Yonsei-Samsung Semiconductor Research Center Best Paper Award, the 2020 Samsung Human-Tech Paper Award Silver Prize in Circuit Design, and the 2018 Samsung Human-Tech Paper Award Bronze Prize in Circuit Design.
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