Job Opportunities 

Multiple Postdoctoral Research Fellow and Research Assistant Openings for Grab-NUS AI Lab (Phase II)

 

Overview

We have multiple postdoctoral research fellow and research assistant openings for the Grab-NUS AI Lab anchored at the Institute of Data Science at National University of Singapore. Grab is Southeast Asia’s leading on-demand transportation platform. The Grab-NUS AI Lab will focus on AI for Southeast Asia to solve transportation and other regional challenges with intelligent insights and innovative services enabled by rigorous research in AI and data science..

Interested individual please send your cover letter and resume to email ids@nus.edu.sg. Please note that only shortlisted candidates will be notified.

 

 

Research Fellow:

Job Summary: The Research Fellows will be responsible for undertaking in-depth research in machine learning and big data for the Grab-NUS AI Lab to solve real-world transportation challenges with rigorous research in AI and data science. Phase II of the Grab-NUS AI Lab will focus on computer vision, NLP, and AI explainability. The research should lead to both publications in top-tier international conferences and journals, as well as real-world industry implementations. He/she will be working closely with the Principal Investigator and lab members on one or more research projects together with Grab data scientists on interesting and challenging real world datasets and problem statements.

Responsibilities:

• Design and develop new state-of-the-art algorithms and applications in machine learning and artificial intelligence for the transportation and e-payment domains, with a focus on computer vision, NLP, and AI explainability;
• Write high-quality research papers to be published at top-tier international research venues;
• Contribute to knowledge exchange and technology transfer activities with industry partners and collaborators;
• Develop ideas for application of research outcomes.

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;
  
• Expertise in computer vision, NLP, or AI explainability;
  
• Experienced in using the latest machine learning, AI, and big data platforms;
• Excellent interpersonal communication and oral presentation skills in English.

 

 

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 datasets from transportation and e-payment domains;
• Design and write robust, readable, and reusable code components and applications to implement state-of-the-art research outcomes in machine learning, artificial intelligence, and big data, with a focus on computer vision, NLP, and AI explainability;
• 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 Mr Paul Lim at ids@nus.edu.sg.