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Research Engineer I

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Singapore NTU (Nanyang Technology University- Main Office-HR) Full time

Job Description

Nanyang Technological University's National Centre for Research in Digital Trust (DTC) is a trust technology research centre to execute a national programme to help put Singapore into a strong trust hub. The key objective is to support efforts to create a trusted digital environment for people and businesses in the digital transformation by providing businesses and consumers with greater assurance and confidence as they digitalize.

We are looking for a Research Engineer to support research in exploring mechanistic interpretability of vision-language models. Vision-Language Models (VLMs) are powerful tools for processing and understanding text and images. This research aims to study the processing of visual tokens in the language model component of VLM.

The role will focus on analysing the localization of object information, the evolution of visual token representations across layers, and the mechanism of integrating visual information for predictions.

Key Responsibilities:
  • Conduct research and analyse the localization of object information, the evolution of visual token representations across layers, and the mechanism of integrating visual information for predictions.
  • Work closely with Centre's researchers to design and develop research prototypes into proof-of-concept systems.
  • Design and build working tools that can support the technology transfer of new capabilities to research partners and can be used to showcase the value of a given research outcome.
  • Write and maintain technical documentation, presentations, and papers on research into trust technologies testing, helping to educate and raise the overall competency in emerging areas of trust technologies.
  • Engage global partners and researchers to understand latest trends and advance Singapore's mindshare in this domain.
Job Requirements:
  • Bachelor's / Master's degree in computer science or related field.
  • Ability to communicate complex technical concepts effectively to both technical and non-technical stakeholders, bridging the gap between research and practical application.
  • Strong analytical and problem-solving skills, with a focus on developing innovative solutions for LLMs.
  • Self-motivated and able to work independently, managing multiple tasks and projects in a fast-paced environment.
  • Strong collaborative skills, with experience working in cross-functional teams.
  • Keen attention to detail and commitment to high-quality deliverables.
  • Understanding of ethical considerations and best practices in AI research, particularly concerning data privacy and security.