Research Fellow (AI for CS Automation)

Overview

We are looking for multiple Research Fellows to participate in a new project entitled “AI for Customer Service Automation” at the Institute of Data Science, National University of Singapore. The project is part of the “Cisco-NUS Accelerated Digital Economy Corporate Laboratory”. The project will focus on developing Artificial Intelligence and Machine Learning algorithms to harvest real-world end-to-end customer service operational data for enhancing customer experience and technical support.

Job Description

The Research Fellow will be responsible for undertaking in-depth research and innovation in machine learning, data science, and artificial intelligence on natural language processing for information extraction and knowledge discovery 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 natural language processing with a focus on information extraction and knowledge discovery from conversational data;
• 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;

Qualifications

• 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;
• Prior experience in knowledge graphs, information extraction, and knowledge discovery using state-of-the-art NLP approaches.  Experience with deep learning-based information retrieval, and/or deep generative natural language approaches for conversation AI would be a plus;
• Excellent interpersonal communication and oral presentation skills in English

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.