Research Fellow (Advanced Research and Technology Innovation Centre Fellowship Programme)

National University of Singapore; Singapore; Presencial; SGD 70 000 - 100 000; Tempo integral

Resumo da oferta

National University of Singapore invites applications for a Research Fellow under the ARTIC Fellowship Programme. The role offers an 18 to 24 month opportunity to conduct independent research under designated Professors.

Based in the Electrical and Computer Engineering unit at Kent Ridge Campus, you will engage in cutting-edge ICT, electrical engineering and data science projects, mentored by senior faculty and contribute to high-impact publications.

Qualificações

• PhD completed within the last 6 years.
• Strong research publication record.
• Excellent written and verbal communication.

Responsabilidades

• Conduct independent research under mentorship.
• Contribute to ICT, EE, and data science research areas.
• Publish findings in peer-reviewed venues and present at conferences.

Conhecimentos

Publication record

Communication skills

Independent researcher

Formação académica

PhD (≤6 years)

Descrição da oferta de emprego

Research Fellow (Advanced Research and Technology Innovation Centre Fellowship Programme)

University-Level Unit: College of Design and Engineering Faculty/Department-Level Unit: Electrical and Computer Engineering Employee Category: Research Staff Location: Kent Ridge Campus Posted On: 19/10/2026

Job Description

The Advanced Research and Technology Innovation Centre (ARTIC) Fellowship Programme (18 to 24 months) open to outstanding researchers, provides early career researchers with the opportunity to conduct independent research under the mentorship of designated Professors. The Research Fellow position will be based under the department of the Professor, not under the Dean’s Office.

Fields of Research

The topics of proposals should be relevant to the following areas:

• Information and Communication Technology (ICT)
• Electrical and Electronics Engineering
• Computer and Data Science and Engineering, particularly interested in:
  • Long-Term Memory for Agents Across Devices
  • Cross-Layer Co-Design of Processor Architectures and Systems Software for Large Models
  • Algorithm–Memory–Execution Co-Design for Ultra-Large Sparse Models
  • Software-Defined Next-Generation NoC: Converging Communication, Computation, and Coordination
  • Computing for Embodied Intelligence: Device–Edge–Cloud Collaboration for Closed-Loop Physical AI
  • Toward Self-Optimizing Large-Model Training: Perception-Driven Compute–Communication Co-Orchestration
  • Enabling Future PIM: Collaborative Physical Design for Multi-Tier 3D DRAM-PIM
• Other related fields as specified above.

Qualifications

• Obtained PhD degree within 6 years prior to the commencement of this research role.
• Strong research publication record is required.
• Excellent communication skills, both written and verbal.

Req ID: 34700