WAS Metadata Enhancement Intern, Resource Discovery & Management
Full-time
Internship
NLB Library Supply Centre
8 months ago
[What the role is]You will be working on the WAS Metadata Enhancement project as an Intern under Resource Discovery & Management.[What you will be..
[What the role is]
You will be working on the WAS Metadata Enhancement project as an Intern under Resource Discovery & Management.
[What you will be working on]
- Understand the basics of metadata and how it is useful.
- Exploring AI-based solutions for metadata enhancement.
- Identifying and evaluating different AI techniques and models for metadata generation.
- Conceptualizing innovative approaches to address specific challenges in metadata enhancement.
- Applying AI techniques to the enhancement of metadata, with a focus on titles, abstracts, and subject headings.
- Implementing and fine-tuning pre-existing AI models and frameworks for metadata improvement.
- Experimenting with prompt engineering, fine-tuning, and retrieval-augmented generation methods for metadata generation.
- Managing and preprocessing data, including cleaning and organizing metadata.
- Troubleshooting and addressing data quality issues encountered during AI-based metadata generation.
- Documenting and maintaining records of the metadata enhancement processes and any issues resolved.
[What we are looking for]
- Students from Computer Science, Artificial Intelligence and Data Science related courses are preferred.
- Students with a proficiency in Python programming and knowledge in Natural Language Processing (NLP).
- Familiarity with AI frameworks and tools such as PyTorch and Hugging Face Transformers.
- Ability to conduct literature reviews focusing on AI concepts and applications.
- Strong problem-solving skills in technical environments.
- Aptitude for detailed documentation in AI projects.
- Effective communication skills, both written and verbal.
- Keen research interest in AI technologies and their evolving landscapes.
- Demonstrated critical thinking abilities.
- Adaptability in dynamic and technologically driven contexts.
- Capacity for teamwork and collaboration in project settings.
- Curiosity and a proactive approach to learning and innovation.
- An experimental mindset, open to exploring and testing new ideas.
Duration: 3 months
Working Location: 3 Changi South Street 2 #03-00 Xilin Districentre Tower B Singapore 486548 Singapore
Shortlisted candidates will be contacted for an interview.
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