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Research Assistant (NLP - Singapore Mandarin Usage Dictionary)

ntu · NTU Main Campus

New
Mid 🇬🇧 English
Python PyTorch scikit-learn Word2Vec BERT Speech-to-text

Job description

About the role

The School of Humanities at Nanyang Technological University (NTU) is looking for a full-time Research Assistant with a background in Natural Language Processing to support the technical work of the MOE SSHR Thematic Grant project, the Singapore Mandarin Usage Dictionary. The role focuses on corpus construction, including speech-to-text processing and transcription of spoken corpora, and on training, fine-tuning and evaluating computational models such as Word2Vec and BERT to identify lexical variation and region-specific features in Singapore Mandarin. The position is based in Singapore, works closely with the Principal Investigator, Co-PI and collaborators, and is offered on an initial contract of 18 to 24 months.

Key responsibilities

  • Support corpus construction, including speech-to-text processing and transcription of spoken corpora
  • Perform data preprocessing, cleaning and quality checks on written and spoken corpus data
  • Contribute to the training, fine-tuning and evaluation of computational models (e.g. Word2Vec, BERT)
  • Implement models and carry out systematic performance evaluation
  • Prepare model outputs for linguistic validation and dictionary integration
  • Contribute to the technical development of the online dictionary platform, including database integration and search functions
  • Document code, workflows and datasets, and support other project-related tasks as assigned

Required profile

  • Bachelor's degree in Computer Science, Computational Linguistics, Natural Language Processing or a related field
  • Technical hands-on experience in NLP or machine learning, including model training, fine-tuning and evaluation
  • Familiarity with NLP models and toolkits (e.g. Word2Vec, BERT) and with speech-to-text workflows
  • Good written and oral communication skills, and proficiency in Mandarin Chinese to support the grant project
  • Ability to work independently and collaboratively, with attention to detail and good organisational skills

Required skills

  • Proficiency in Python and common machine learning / NLP libraries (e.g. PyTorch, scikit-learn)
  • NLP model training and evaluation

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Source : ats:workday

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Published 5 hours ago

Expires 1 month from now

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ntu

NTU Main Campus