Kwantae Kim

PhD opening at Aalto University in the Tiny Systems and Circuits (TSirc) group for Hardware-Aware AI for Analog and RF Circuits . This project sits at the intersection of Electrical Engineering and Computer Science , combining analog integrated circuits , RF circuits , neural network training , and PyTorch . The group highlights access to a GPU computing cluster (Aalto Triton), circuit simulation tools such as Cadence and Synopsys, and RF measurement infrastructure from DC to THz. The project also includes collaboration with TU Delft, Yonsei University, and GIST, with opportunities for research visits. Eligibility highlights: practical experience training neural networks with PyTorch; strong background in signals and systems and analog circuit theory; fluent English. Helpful extras include lab measurements of analog/RF circuits, signal processing for wireless communication, and transistor-level circuit design and simulation. Finnish is not required. Application deadline: 9 October 2026. The expected start date is Nov-Dec 2026. How to apply: submit a CV, motivation letter, MSc/BSc transcript, and recommendation letter if available through the online application link. Email applications are not accepted, and early applications are encouraged because candidates may be reviewed and interviewed during the application period.