A Corp Lab in NTU is looking for a Research Engineer I or II to conduct advanced research in Natural Language Processing (NLP) and Generative AI, with a focus on developing a comprehensive knowledge graph of world knowledge. The project involves leveraging cutting-edge techniques in AI to build models that can generate human-like language for complex reasoning, contributing to the University's mission of advancing knowledge and understanding in these fields. The successful candidate will play a crucial role in expanding the University's research capabilities, ultimately enhancing its reputation as a leader in AI research and innovation.
Key Responsibilities:
Assist in developing NLP applications and knowledge graphs.
Conduct literature reviews, analyze research papers, and contribute to research ideas related to the fields of generative AI, world knowledge base and complex reasoning.
Develop and implement NLP and Generative AI models to address research objectives and improve existing algorithms.
Job Requirements:
Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related field.
Demonstrated experience in natural language processing, machine learning, and deep learning.
Familiarity with deep learning frameworks like TensorFlow or PyTorch.
Ability to analyze complex problems, identify patterns, and derive meaningful insights from data.
Proficiency in programming languages such as Python, Java, or C++ for implementing NLP and Generative AI algorithms.
Understanding of NLP concepts, machine learning algorithms, and their applications in text processing and generation.
Capacity to address research challenges creatively and develop innovative solutions.
Effective written and verbal communication skills for documenting research findings and presenting them to diverse audiences.
We regret that only shortlisted candidates will be notified.
Hiring Institution: NTU
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