Job Opportunities

Multiple Postdoctoral Research Fellow, Research Assistant, and PhD student Openings for Cisco-NUS Accelerated Digital Economy Corporate Laboratory (Posted on: 9 March 2023)

We are looking for multiple Research Fellows and Research Assistants and a PhD student to participate in a new project entitled “AI for Customer Service Automation” at the Institute of Data Science, National University of Singapore.

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

 

Job Summary: 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.

  • Develop new concepts and algorithms in data science, machine learning, and artificial intelligence for natural language processing with a focus on knowledge-graph approaches to address the data integrity issues, information extraction from user conversation data and dialog tree generation;
  • 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.
  • A PhD in Computer Science, with specialization related to natural language processing, 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, dialog tree generation 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.

Job Summary: 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 NLP research in machine learning and big data for real-world customer service AI automation.

  • 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;
  • Perform data engineering tasks including data cleansing and processing for analysis of real-world datasets;
  • Assists with the editing and preparation of manuscripts, reports and presentations;
  • Participate in presentations and demos for exhibiting work at appropriate events.
  • 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;
  • Possesses research background with ability to read and understand methodologies in research papers;
  • Fluent in English and good team-player.

The PhD student will be fully funded for 4 years under the project’s research scholarship to conduct ambitious long-term research on NLP techniques for next-generation customer service and technical support related to Cisco. Specific research topics of interest include knowledge graphs, text mining and summarization, document retrieval, and conversational agents.

  • Research innovative machine learning algorithms and tools to address large-scale, real-world problems in the domains of natural language processing for next-generation customer service and technical support;
  • Develop novel state-of-the-art methods for knowledge graphs, text mining, conversational agents, domain generalization, long-tailed learning, etc;
  • Publish and present your work in the top AI/ML venues;
  • Work with our research staff and industry partners.
  • Bachelor or Master degree in computer science or related discipline with excellent academic credentials ;
  • Apply and gain admission into the PhD program of IDS or SOC, to commence in January 2023;
  • Passion for tackling challenging research problems with real-world impact;
  • Strong analytical and problem-solving skills;
  • Some experience with deep learning frameworks such as PyTorch, Keras, or Tensorflow.

For any enquiries, please contact Mr Paul Lim at ids@nus.edu.sg.