Research Fellow, Department of Analytics and Operations
- Recruiter
- NATIONAL UNIVERSITY OF SINGAPORE
- Location
- Singapore
- Posted
- 17 Nov 2023
- End of advertisement period
- 17 Dec 2023
- Ref
- 17857144
- Academic Discipline
- Business & Economics, Business & Management, Engineering & Technology, Computer Science
- Job Type
- Academic Posts, Research Fellowships
- Contract Type
- Fixed Term
- Hours
- Full Time
Job Description
We are looking for a talented and experienced Researcher in Machine Learning to join our dynamic team and help us develop cutting-edge technologies in Large Language Model (LLM), data privacy protection, and AI governance area.
Responsibilities:
- Research on AI governance framework for LLM, including privacy protection, AI ethic, etc.
- Develop industry specific LLM solution through fine tuning LLM parameters using industry private data.
- Publish high-quality papers and patents.
- Collaborate with team members in Singapore, China and US.
- Provide technical support to clients and stakeholders as needed.
Qualifications
- PhD in Business Analytics, Computer Science, Engineering, or a related field.
- Good knowledge of AI technology, especially LLM
- Familiarity with NLP libraries such as NLTK, spaCy, or Gensim
- Experience with text classification, sentiment analysis, and entity recognition
- Experience with deep learning frameworks such as TensorFlow or PyTorch
- Strong understanding of machine learning algorithms and statistics
- Strong proficiency in Python, Java, or another programming language relevant to the role.
- In-depth knowledge of machine learning algorithms, libraries, and tools (such as TensorFlow, Keras, or PyTorch).
- Knowledge in OR (Operations Research) is a plus
- Experience with cloud computing platforms and services, particularly AWS (EC2, S3, Lambda)
- Solid understanding of software development methodologies, including Agile and Scrum.
More Information
Location: Kent Ridge Campus
Organization: School of Business
Department: Analytics And Operations
Employee Referral Eligible: No
Job requisition ID: 21686
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