Job Description

The Institute of Data Science at National University of Singapore (NUS) is looking for a Research Assistant to work on developing collaborative machine learning techniques in a new project entitled “Toward Trustable Model-centric Sharing for Collaborative Machine Learning” at the Institute of Data Science and the School of Computing, National University of Singapore.  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 machine learning and big data for collaborative machine learning such as federated learning.

The appointment will be for one year. Selected candidates will be offered with attractive/competitive salaries and benefits.

Responsibilities:

• Design and develop robust, readable, and reusable code components to implement state-of-the-art deep learning and federated learning systems;
• Design and implement research applications in collaborative/federated learning systems for cybersecurity or anomaly detection applications;
• Assists with the editing and preparation of manuscripts, reports and presentations;
• Develop 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;
• Prior research experience in machine learning would be a plus;
• Hands-on experience and technical knowledge in AI for cybersecurity and anomaly detection would be a plus;
• Ability to read and understand methodologies in research papers;
• Fluent in English and good team-player.