Research Engineer II (Computer Science/Electrical& Electronic Engineering/Mathematics)

NANYANG TECHNOLOGICAL UNIVERSITY; Singapore; On-site; SGD 80,000 - 100,000; Full time

Job summary

A prominent university in Singapore is seeking a researcher for the Alibaba-NTU Global e-Sustainability CorpLab (ANGEL) focused on federated learning. Candidates will lead independent research, supervise students, and design technical platforms. A master’s degree in a related field is required, with strong publication records essential. Ideal candidates may have previous research experience in explainable AI or federated learning. Only shortlisted candidates will be notified.

Qualifications

• Master’s degree from a reputable university required.
• Candidates pending completion of PhD will be considered.
• Proven track record of publications essential.

Responsibilities

• Conduct independent research in federated learning.
• Help supervise PhD, master and undergraduate students.
• Assist in design and development of technical platforms.

Skills

Research in federated learning

Collaboration with industry partners

Supervising students

Education

Master’s degree in Computer Science/Engineering or related fields

Job description

The Alibaba-NTU Global e-Sustainability CorpLab (ANGEL) represents a key collaboration between Alibaba Group and Nanyang Technological University (NTU). Supported by the Singapore RIE2025 Fund, ANGEL creates and deploys impactful green digital technologies for global sustainability.

ANGEL’s mission aligns seamlessly with Singapore’s national objectives, such as the Singapore Green Plan 2030 and the Singapore Smart Nation Initiative. ANGEL’s work in developing sustainable and equitable digital solutions and promoting a sustainable and green lifestyle will contribute to a smaller carbon footprint. Its holistic approach will help to secure a brighter, more sustainable future for humanity.

Key Responsibilities

• Conduct independent research in the field of federated learning, focusing on incentive mechanism design.
• Help supervise PhD, master and undergraduate students, and R&D staff.
• Help with federated learning technical platform design and development.
• Help with collaboration with existing industry partners.

Job Requirements

• Master’s degree in Computer Science/Engineering, Electrical/Electronic Engineering, Mathematics or other related disciplines from a reputable university.
• Candidates pending completion of PhD will be considered at a stronger standing.
• A good track record of publications is a must.
• Previous research experience in explainable AI related fields preferred.
• Previous research experience in the field of federated learning will be advantageous.

We regret that only shortlisted candidates will be notified.