Job Opportunities – I-AGE (Posted on: 1 Oct 2025)

 

Research Fellow for Healthcare Data Science

 

Overview

We are looking to recruit Research Fellows to join our project in healthcare data science. We will be working primarily with Professor Mengling Feng. The selected candidate will be working in a truly cross-disciplinary team, where he/she will have the opportunities to work with clinical and AI experts.

Interested individual please send your cover letter and resume to email Dr Mengling FENG at ephfm@nus.edu.sg.

 

Job Summary

The Research Fellow will be responsible for undertaking in-depth research and innovation in machine learning, data science, and artificial intelligence on trusted collaborative machine learning that lead to publications in top-tier international conferences and journals, as well as real-world implementations.

 

Responsibilities:

• Develop new concepts and algorithms in data science, machine learning, and artificial intelligence for trusted collaborative machine learning;
• Be up-to-date on state-of-the-art methodologies in related technical fields and application domains;
• Develop ideas for application of research outcomes;
• Contribute to knowledge exchange activities with external partners and collaborators.

 

Requirements:

• A PhD in Computer Science or relevant fields, with specialization related to machine learning, data mining, artificial intelligence or databases;
• Proven ability to conduct independent research with a strong and relevant publication record;
• Strong publication track records with top conference and journal papers will be a plus;
• Experienced in using the latest machine learning, AI, and big data platforms;
• Proficient in python/C++/R programming
• Excellent interpersonal communication and oral presentation skills in English;
• A effective team player.

 

For any enquiries, please contact Dr Mengling FENG at ephfm@nus.edu.sg.

 

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Research Assistant for Healthcare Data Science

 

Overview

We are looking to recruit Research Fellows to join our project in healthcare data science. We will be working primarily with Professor Mengling Feng. The selected candidate will be working in a truly cross-disciplinary team, where he/she will have the opportunities to work with clinical and AI experts.

Interested individual please send your cover letter and resume to email Dr Mengling FENG at ephfm@nus.edu.sg.

 

Job Summary

The Research Assistant will be responsible for data extraction, data standardization and integration, implementations for algorithms and methodologies based on state-of-the-art research in machine learning and big data for collaborative machine learning.

 

Responsibilities:

• Perform data cleansing and processing for analysis of real-world healthcare datasets;
• Development and implementation of machine learning algorithms for various clinical problem statements;
• Assists with the editing and preparation of manuscripts, reports and presentations;
• Participate in presentations and demos for exhibiting work at appropriate events.

 

Requirements:

• Bachelors or Masters in Computer Science or relevant field with a focus in AI/Machine Learning/Big Data;
• Solid programming and application development skills with experience in Python/R/C/C++, and experience with Tensorflow would be a plus;
• Ability to read and understand methodologies in research papers;
• Fluent in English and good team-player.

 

For any enquiries, please contact Dr Mengling FENG at ephfm@nus.edu.sg.

 

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Project Officer for Healthcare Data Science

 

Overview

We are looking to recruit a project officer to manage our projects in healthcare data science. These projects are hosted at the Institute of Data Science, National University of Singapore. You will be working primarily with Professors Mengling Feng. The selected candidate will be working in a truly cross-disciplinary team, where he/she will have the opportunities to work with clinical and AI experts.

Interested individual please send your cover letter and resume to email Dr Mengling FENG at ephfm@nus.edu.sg.

 

Job Summary

The project officer will be responsible for coordinating with both our academic and industrial partners, setting up agreements with collaborating partners, managing project timelines and budgets, etc.

 

Responsibilities:

• Assist in setting up collaboration agreements with various partner;
• Assist in procurement management;
• Assist in managing the project timelines, budgets and recruitment ;
• Liaise with our local and international partners.

 

Requirements:

• Bachelors or Masters in relevant field;
• Rich experience in managing research projects
• Have a good pair of eyes for details
• Solid personal communication skills
• Fluent in English and good team-player;

 

For any enquiries, please contact Dr Mengling FENG at ephfm@nus.edu.sg.