1. NLP Research Assistant – Bilingual Speech-to-Text Development
Overview: We’re seeking a motivated NLP Research Assistant to support the development of a bilingual speech-to-text application for the medical field. This role focuses on advancing speech recognition models capable of processing English and Vietnamese medical terminology with high accuracy.
Key Responsibilities:
- Contribute to the development of a bilingual (English-Vietnamese) speech-to-text system tailored for healthcare.
- Research and evaluate open-source speech-to-text frameworks, identifying those suitable for integration.
- Fine-tune speech recognition models to interpret specialized medical terminology accurately.
- Incorporate a bilingual medical dictionary for precise transcription.
- Conduct system testing, identify and resolve bugs, and optimize platform performance.
- Maintain detailed documentation of methodologies, experiments, and outcomes.
Qualifications:
- Graduate student in Computer Science or a related discipline.
- Background in Natural Language Processing (NLP) or related subjects.
- Proficiency in Python.
- Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch).
- Knowledge of speech recognition technologies.
Preferred Skills:
- Prior experience with speech-to-text projects or systems.
- Proficiency in the Vietnamese language is a strong asset.
- Familiarity with medical terminology or experience within healthcare settings.
Project duration: 12 months starting May or June 2025.
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