Postdoctoral Researcher

Nanyang Technological University Singapore; Singapore; On-site; SGD 61,000 - 84,000; Full time

Job summary

Nanyang Technological University Singapore is seeking a Postdoctoral Research Fellow to advance AI efficiency across the full stack, from algorithms to silicon. You will lead research projects, publish in top venues, and collaborate with partners such as ETH Zürich, Stanford, and MIT.

The role is on-site in Singapore and involves mentoring PhD students and shaping grant proposals for future directions in Embodied AI, IC design/EDA, and efficient algorithms.

Qualifications

• PhD completed or near completion in EE, CS, Computer Engineering, or related field.
• Strong publication record in ML/CV venues or hardware/EDA venues.
• Hands-on experience in model compression, efficient architectures, accelerator/RTL design, or embedded deployment.

Responsibilities

• Lead your own research projects and publish at top venues.
• Collaborate across the algorithm–hardware boundary with PhD students and partners (ETH Zürich, Stanford, MIT).
• Help mentor students and shape new research directions and grant proposals.

Skills

Publication record

Research collaboration

Hands-on ML/EM accelerator

Education

PhD completed or near completion in EE/CS/Computer Engineering or related field

Tools

RTL design

Embedded deployment

Job description

We're hiring Postdoctoral Research Fellows at NTU Singapore!

I recently joined the School of Electrical and Electronic Engineering at Nanyang Technological University as a Nanyang Assistant Professor, and I'm building a lab on AI efficiency across the full stack, from algorithms down to silicon. Our view is simple: the biggest efficiency gains come from co-designing the algorithm and the hardware that runs it.

Embodied AI systems: software-hardware co-design for robotics, making VLAs and world models run within real latency and power budgets

IC design & EDA: open-source RISC-V processors and AI accelerators, PPA optimization, and 3D integration

Efficient algorithms: compression and acceleration of LLMs, VLMs, and VLAs (quantization, pruning, distillation, KV-cache compression)

Biosignal foundation models: efficient EEG/EMG models deployed on wearables

As a postdoc, you will

• lead your own research projects and publish at top venues
• collaborate across the algorithm–hardware boundary with PhD students and our partners, including ETH Zürich, Stanford, and MIT
• help mentor students and shape new research directions and grant proposals

• a PhD (completed or near completion) in EE, CS, Computer Engineering, or a related field
• a strong publication record in ML/CV venues (NeurIPS, ICML, ICLR, CVPR) or hardware/EDA venues (DAC, DATE, MICRO, ASPLOS, ISCA, HPCA, ICCD)
• hands‑on experience in model compression, efficient architectures, accelerator/RTL design, or embedded deployment

Why NTU

NTU is a research-intensive university with one of the most beautiful campuses in the world, and a community of about 5,000 faculty and researchers from 100+ nationalities. The role is full‑time and on‑site in Singapore. Positions are filled on a rolling basis and can start at any time.

More about the lab: https://ofsoundof.github.io/