Research Fellow (Machine learning, Data Science, Artificial Intelligence on NLP)

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Cloud computing, Scala Programming, Machine learning techniques, Data science techniques, MATLAB Programming, PyTorch, TensorFlow, R Programming

Job Description

We are looking for a Research Fellow who will be responsible for undertaking in-depth research and innovation in machine learning, data science, and artificial intelligence on natural language processing for information extraction and knowledge discovery that lead to publications in top-tier international conferences and journals, as well as real-world implementations.

Responsibilities:

• Develop new concepts and algorithms in data science, machine learning, and artificial intelligence for natural language processing with a focus on knowledge-graph approaches to address the data integrity issues, information extraction from user conversation data and dialog tree generation;
• Be up-to-date on state-of-the-art methodologies in related technical fields and application domains;
• Develop ideas for application of research outcomes;
• Contribute to knowledge exchange activities with external partners and collaborators

Qualifications

• A PhD in Computer Science, with specialization related to natural language processing, machine learning, data mining, artificial intelligence or databases;
• Proven ability to conduct independent research with a strong and relevant publication record;
• Prior experience in knowledge graphs, information extraction, dialog tree generation and knowledge discovery using state-of-the-art NLP approaches.
• Experience with deep learning-based information retrieval, and/or deep generative natural language approaches for conversation AI would be a plus;
• Excellent interpersonal communication and presentation skills. 
• Open to fixed-term contract