NLP Researcher: Mandarin Corpus & Model Tuning

Nanyang Technological University Singapore; Singapore; On-site; SGD 40,000 - 60,000; Full time

Job summary

Nanyang Technological University Singapore (NTU) in Singapore invites applications for a full‑time Research Assistant in NLP to support the MOE SSHR Thematic Grant project on the Singapore Mandarin Usage Dictionary. The role focuses on corpus construction, speech-to-text processing, and training, fine-tuning and evaluation of computational models for lexical variation and region-specific features.

The successful candidate will work under the Principal Investigator and collaborators for 18 to 24

Qualifications

• Bachelor’s degree in Computer Science, Computational Linguistics, NLP, or a related field.
• Hands-on NLP or ML experience including model training, fine-tuning, and evaluation.
• Familiarity with Word2Vec, BERT and speech-to-text workflows.
• Proficiency in Python and ML/NLP libraries (PyTorch, scikit-learn).
• Strong written and oral communication; Mandarin proficiency to support the project.

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 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

Skills

NLP

Model training

Python

PyTorch

Speech-to-text

BERT

Word2Vec

Data preprocessing

Mandarin

Education

Bachelor’s degree in Computer Science, Computational Linguistics, NLP, or related field

Tools

Git

SQL

Linux

Job description

Nanyang Technological University Singapore (NTU) in Singapore invites applications for a full‑time Research Assistant in NLP to support the MOE SSHR Thematic Grant project on the Singapore Mandarin Usage Dictionary. The role focuses on corpus construction, speech-to-text processing, and training, fine-tuning and evaluation of computational models for lexical variation and region-specific features.

The successful candidate will work under the Principal Investigator and collaborators for 18 to 24