Research Fellow (Artificial Intelligence, NLP)

Updated: about 2 years ago
Location: Singapore,
Deadline: 31 Mar 2022

Research Fellow (Artificial Intelligence, NLP)

Apply now Job no:495011
Work type:Contract, full-time
Location:Singapore
Categories:PhD, Information Systems Technology & Design, Temasek Laboratory


Two Research Fellow positions are available in the Information Systems Technology and Design (ISTD) Pillar, Singapore University of Technology and Design, Singapore. The Research fellows will be involved in the research and development of AI models and algorithms for natural language processing and generation. The Research Fellow will support the research for the project titled: Feedback Analytics and Auto-Reply Project. 

Job Responsibilities

  • Research on the cutting-edge AI algorithms for processing and unstructured textual data.
  • Work with other researchers and PhDs to develop AI applications related to natural language processing and generation.
  • Lead a team of junior researchers, e.g., Ph.D. students and research assistants, to help with the natural language processing and data analytics tasks
  • Discussion and study recent papers and baseline codes in this field. Report to the advisor and the team weekly.
  • Prepare and publish research papers on top-tier conferences and journals.
  • Help prepare the proposal and progress report.

Job Requirements

The successful applications are expected to possess Ph.D. Degree in Computer Science or Engineering from reputed universities, with research experience in related fields.

  • Research and Comprehensive Skills:
    • Independent and self-motivated researcher
    • Good paper reading and writing skills
    • Good publication record, including top-tier journals and conference papers in the related fields.
  • Coding Skills:
    • Familiar with any of the major deep learning libraries, including Pytorch and TensorFlow.
    • Comfortable with Linux environment, including using vim, git, tmux, bash, etc.

Applications close:31 Mar 2022 Singapore Standard Time

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