Job Opportunities 

Multiple Postdoctoral Research Fellow and Research Assistant Openings for Healthcare Data Science (Posted on: 30 April 2024)

 

Overview

We are looking to recruit Research Fellows and Research Assistants to join our project in healthcare data science. These projects are hosted at the Institute of Data Science, National University of Singapore. We will be working primarily with Professors Mengling Feng, Wynne Hsu and Lee Mong-li. The selected candidate will be working in a truly cross-disciplinary team, where he/she will have the opportunities to work with clinical experts from SingHealth and NUHS. The selected candidate will also be part of our collaborations with international institutes, such as MIT and Harvard.

Interested individual please send your cover letter and resume to email Mr Paul Lim at paul.lim@nus.edu.sg.

 

Research Fellow:

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, 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.

 

Research Assistant:

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 with a focus in AI/Machine Learning/Big Data;
  • Solid programming and application development skills with experience in Python/Perl/R. Mastery of programming languages such as C/C++/Java, 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.