Research Fellow (ALCNS)

National University of Singapore; Singapore; On-site; SGD 80,000 - 120,000; Full time

Job summary

National University of Singapore is seeking a Research Fellow to join the Digital Behavioural Insights Lab (DBI) in Singapore. The role involves building digital health simulation models, contributing to publications, and collaborating with interdisciplinary teams on cardiometabolic disease prevention and management.

It is a full-time on-site position in Singapore. The appointee will conduct research, manage data analyses, prepare project reports, and assist with ethics submissions and

Qualifications

• PhD in computing science, biomedical engineering or related fields.
• Strong analytical and data interpretation skills.
• Experience in machine learning, system design, and software engineering.

Responsibilities

• Lead full lifecycle research projects from design to publication.
• Develop ML models and computer simulations for health topics.
• Prepare ethics submissions and manage IRB processes.
• Coordinate projects, recruit participants and liaise with departments.
• Contribute to data collection, surveys, and manuscript reviews.

Skills

Analytical skills

Machine learning

System architecture

Software engineering

Research experience

Education

PhD in computing science or biomedical engineering

Tools

SPSS

R-Studio

Job description

Company description

The National University of Singapore is the national research university of Singapore. Founded in 1905 as the Straits Settlements and the Federated Malay States Government Medical School, NUS is the oldest higher education institution in Singapore

Job description

We are seeking a passionate and detail-oriented individual to join the digital behavioural insights lab (DBI) as a Research Fellow. Our focus is on building digital health simulation models and interventions and cardiometabolic disease prevention and management. This is a full-time on-site position located in Singapore. The successful candidate will be responsible for conducting research, performing data collection analysis, and contributing to academic publications and presentations. They will also assist in the preparation of project reports and collaborate with interdisciplinary teams.

Duties:

The appointee will be involved in the full lifecycle of research projects, from study design to publication. This includes development of machine learning models, computer simulations, and app/software engineering. This role requires strong academic writing skills and the ability to manage multiple components of research independently.

Key responsibilities include:

1. contributing to the entire academic paper writing process, including drafting, reviewing, revising, and submitting manuscripts
2. conducting literature reviews and performing basic statistical analyses using SPSS or R-Studio
3. preparing and submitting ethics applications to the Institutional Review Board (IRB) or other relevant ethics board
4. coordinating and supervising assigned projects - including screening and recruitment, liaising with other departments, and managing participant appointments
5. supporting participant recruitment and onboarding for research studies
6. participating in data collection activities, ranging from online surveys (e.g., Qualtrics) to in-person data collection
7. cleaning, managing and updating large datasets throughout the course of the studies
8. assisting with the review, amendment, and resubmission of manuscripts as needed

Qualifications

• PhD in computing science, biomedical engineering, or related disciplines
• Strong Analytical Skills and ability to interpret research data and findings
• Expertise in machine learning, building system architecture, software engineering, and the use of relevant software and tools
• Strong organizational skills and the ability to meet project deadlines
• Prior academic or applied research experience is advantageous

Remuneration will be commensurate with the candidate's qualifications and experience. Preference will be given to those with previous experience in research and project management.