Research Associate, Computer Science

National University of Singapore; Singapore; On-site; USD 60,000 - 100,000; Full time

Job summary

An established industry player is seeking innovative minds for research positions in Computer Science. This role offers the opportunity to contribute to a groundbreaking Green AI project aimed at optimizing energy-efficient AI inference methods. Candidates will work closely with experienced researchers to develop novel computational solutions that enhance sustainability in data centers. If you are passionate about systems-level innovation and eager to make a significant impact in the field of AI, this position is perfect for you. Join a team committed to advancing technology for societal well-being and research excellence.

Qualifications

• PhD required for Research Fellow and Associate positions.
• Bachelor's or Master's required for Research Assistant position.
• Relevant research experience is essential.

Responsibilities

• Collaborate on a Green AI project focused on energy-efficient AI methods.
• Develop sustainable solutions for data center computation.
• Innovate across systems-level computing.

Skills

Machine Learning Systems

Computer Architecture

FPGA/GPU/Accelerator Design

Compilers

Operating Systems

Education

PhD in Computer Science

Master's in Computer Science

Bachelor's in Computer Science

Job description

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

Your application will be processed only if you apply via the 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 societal well-being. 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 initiative aims to develop energy-efficient AI inference methods, optimizing across algorithms and architecture to make data center computation and communication systems 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 passionate about systems-level innovation, eager to work across abstraction layers, and motivated to advance sustainable and scalable AI.

Only shortlisted candidates will be notified.

Qualifications

• PhD degree in a relevant area for research fellow and research associate positions.
• Bachelor's or Master's degree in a relevant area for research assistant position.
• Research experience.