Research Fellow (School of Computing) - NATIONAL UNIVERSITY OF SINGAPORE

Roles & Responsibilities

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for the position of Research Fellow, Research Associate, or Research Assistant in the Department of Computer Science, School of Computing (SoC). SoC is strongly committed to research excellence in all its dimensions : Searching for fundamental results and insights, developing novel computational solutions to a wide range of applications, building large-scale experimental systems and improving the well-being of society. We seek to play an active role both internationally and locally in the core and emerging areas of Computer Science and Information Systems.

The successful candidates will work closely with Principal Investigator Prof. Tulika Mitra on a recently funded Green AI project. This ambitious research initiative targets energy-efficient AI inference, co-optimizing across the full stack - from algorithms to architecture. The goal is to rethink data center computation and communication systems to make AI workloads significantly more sustainable. The ideal candidate will have experience in computing systems, such as ML systems, computer architecture, FPGA / GPU / accelerator design, compilers, or operating systems. We are looking for individuals who are passionate about systems-level innovation, eager to work across abstraction layers, and motivated to push the frontiers of sustainable and scalable AI.

Only shortlisted candidates will be notified.

Qualifications

Requirements

• PhD degree in a relevant area for research fellow and research associate position
• Bachelors or Masters degree in a relevant area for research assistant position
• Experience in research

Tell employers what skills you have

Machine Learning

Computing

Research Experience

GPU

Artificial Intelligence

FPGA

Computer Architecture

Laboratory

Research

Algorithms