Research Scientist
2 months ago
The Nanyang Technological University invites applications for the position of Research Fellow in the College of Computing & Data Science.
We are seeking a highly motivated and experienced researcher to conduct cutting-edge research on large language models and their application in education. The successful candidate will lead research efforts, develop innovative algorithms, manage large datasets, and ensure the system's accuracy and fairness.
Key Responsibilities:- Conduct research on large language models and lead their application in an educational system.
- Stay updated on the latest advancements in natural language processing, AI, and automated essay scoring through literature reviews.
- Develop innovative algorithms and models to handle the specific characteristics of Chinese text, including syntax, semantics, and idiomatic expressions.
- Implement and fine-tune large language models to accurately assess various aspects of essay quality, such as grammar, coherence, argument strength, and style.
- Data Collection and Annotation: Collaborate with educational institutions to collect large datasets of Chinese essays.
- Oversee the annotation process to ensure high-quality, consistent labeling of essay features relevant to scoring.
- Develop and maintain a robust database for managing essay datasets and annotations.
- Dissemination and Collaboration: Publish research findings in leading academic journals and present at conferences and workshops.
- Collaborate with interdisciplinary teams to enhance the research and its applications.
- A PhD in AI, NLP, or a related field.
- Strong background in natural language processing and machine learning, with specific experience in working with large language models.
- Proficiency in Chinese language as required for research work.
- Strong programming skills, with proficiency in Python and relevant machine learning frameworks (e.g., TensorFlow, PyTorch).
- Excellent communication and teamwork skills, with the ability to collaborate effectively with interdisciplinary teams.
We regret that only shortlisted candidates will be notified.
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