Research Fellow (Bioelectronics & Machine Leaning)

National University of Singapore; Singapore; On-site; SGD 60,000 - 95,000; Full time

Job summary

The National University of Singapore's Electrical and Computer Engineering department invites applications for a Research Fellow in Bioelectronics and Machine Learning at the Kent Ridge Campus.

The successful candidate will conduct independent and collaborative research, design and characterise functional materials and devices, and apply ML tools to analyse data. PhD in a related field and strong publication record are essential; fixed-term contract possible.

Qualifications

• PhD required in a related discipline with strong publication record.
• Experience in advanced materials synthesis, characterisation and device fabrication preferred.
• Familiarity with computational modelling or data-driven analysis advantageous.

Responsibilities

• Conduct independent and collaborative research in advanced materials and sensing technologies.
• Design, synthesise, fabricate, and characterise functional materials and devices.
• Perform experimental studies and computational modelling to understand material properties and device performance.
• Analyse data using statistical and machine learning tools where applicable.
• Publish journal papers and meet grant deliverables.
• Perform routine laboratory duties.
• Assist with other tasks and responsibilities as assigned.

Skills

Independent researcher

Collaborative team player

Analytical thinking

Education

PhD in Chemistry; Materials Science; Chemical Engineering; Physics (or related)

Tools

Computational modelling

Data analysis

Job description

Job Title: Research Fellow (Bioelectronics & Machine Learning)

University Level Unit: College of Design and Engineering

Faculty/Department Level Unit: Electrical and Computer Engineering

Location: Kent Ridge Campus

Posting Start Date: 17/07/2026

Job Description

A Research Fellow position is available in the research group of Professor Ho Ghim Wei at the Department of Electrical and Computer Engineering and Material Science and Engineering, National University of Singapore (NUS).

Responsibilities

• Conduct independent and collaborative research in advanced materials and sensing technologies.
• Design, synthesise, fabricate, and characterise functional materials and devices.
• Perform experimental studies and computational modelling to understand material properties and device performance.
• Analyse data using appropriate statistical and machine learning tools where applicable.
• Publish journal papers and meet grant deliverables.
• Perform routine laboratory duties.
• Assist with other tasks and responsibilities as assigned by immediate supervisor.

Qualifications

• PhD in Chemistry, Materials Science, Chemical Engineering, Physics, or a related discipline.
• Strong experimental research skills with a good publication record.
• Experience in advanced materials synthesis, characterisation, and device fabrication.
• Familiarity with computational modelling or data-driven analysis is advantageous.
• Ability to work independently as well as collaboratively in a multidisciplinary research environment.
• Open to Fixed Term Contract.