Research Assistant, Machine Learning and NLP

14 Mar 2023
End of advertisement period
13 Apr 2023
Contract Type
Fixed Term
Full Time

Job Description

The Institute of Data Science at National University of Singapore (NUS) is looking for a Research Assistant to work on machine learning (ML) for natural language processing (NLP) research, with a particular focus on indigenous/vernacular languages. The project (see is an international collaboration between Singapore and New Zealand on data science, focusing on multi-lingual Q&A for revitalising and facilitating indigenous/vernacular languages in Southeast Asia and New Zealand through AI and data science.

The Research Assistant will be responsible for developing multi-lingual Q&A systems and databases for low-resource languages based on novel state-of-the-art research in ML and NLP. The research will also involve the creation of a platform to manage new research resources such as well-annotated NLP datasets, and implementations in real-world applications.

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


  • Develop and implement state-of-the-art ML methodologies and algorithms in NLP for multi-lingual Q&A in low-resourced languages;
  • Design and implement data platform for collaborative NLP research on regional indigenous/vernacular languages;
  • Contribute to research paper writing ;
  • Participate in knowledge exchange and knowledge transfer activities with external partners and collaborators.


  • An M.S. in Computer Science or equivalent, with specialization in machine learning and natural language processing;
  • Familiarity with advanced AI platforms and state-of-the-art NLP and ML techniques;
  • Proven ability to understand academic research papers and implement algorithms and systems based on research papers;
  • Prior ML research experience and knowledge of SEA languages would be a plus;
  • Excellent interpersonal communication and oral presentation skills in English;
  • Experienced in working in a team, with people of diverse skillsets and cultural background.

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.

Taking into consideration the health and well-being of our staff and students and to better protect everyone in the campus, applicants are strongly encouraged to have themselves fully COVID-19 vaccinated to secure successful employment with NUS.

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