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Research Assistant, Artificial Intelligence in Health

Overview

We are looking for multiple Researchers to participate in a new AI in Healthcare project at the Institute of Data Science and the School of Computing, National University of Singapore. The project is funded under the “AI in Health Grand Challenge” by AI Singapore, led by Professors Wynne Hsu, Mong-Li Lee and Chee-Yong Chan together with clinicians from Singhealth, which is one of Singapore's largest healthcare provider.

Job Description

The Research Assistant will be responsible for designing and implementing efficient and robust systems, and applications for algorithms and methodologies based on state-of-the-art research in data science, machine learning, artificial intelligence and big data. He/she will be working closely with the Principle Investigator and lab members on one or more research projects with external collaborators on interesting and challenging real-world datasets and problem statements.

Requirements

  • Bachelors or Masters in Computer Science or related disciplines with a focus in AI/Machine Learning/Big Data
  • Candidate must be able to work with fast moving, “hands-on”, results-oriented environments. He/ she will have a ‘can-do’ attitude and be passionate about building and developing new ideas and models
  • Solid programming and application development

Covid-19 message

At NUS, the health and safety of our staff and students are one of our utmost priorities, and COVID-vaccination supports our commitment to ensure the safety of our community and to make NUS as safe and welcoming as possible. Many of our roles require a significant amount of physical interactions with students/staff/public members. Even for job roles that may be performed remotely, there will be instances where on-campus presence is required.

In accordance with Singapore's legal requirements, unvaccinated workers will not be able to work on the NUS premises with effect from 15 January 2022. As such, job applicants will need to be fully COVID-19 vaccinated to secure successful employment with NUS.

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