Digital Trust Specialist
4 days ago
Nanyang Technological University's (NTU) National Centre for Research in Digital Trust is a leading institution in the field of trust technology research. We are seeking a highly skilled Digital Trust Specialist to join our team and contribute to our mission of creating a trusted digital environment for people and businesses.
Job DescriptionThe successful candidate will have expertise in trust technologies testing and related areas such as privacy, security, and blockchain. The role will focus on emerging technologies that engender trust and espouse the values of fairness, safety, and privacy in digital technologies.
The key responsibilities of this position include:
- Conducting research into trust technologies testing and translating algorithms, tools, and frameworks into working prototypes.
- Working closely with our researchers to design and develop system implementation work from research into the product.
- Designing and building 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.
- Writing and maintaining technical documentation, presentations, and papers on research into trust technologies testing.
- Engaging global partners and researchers to understand latest trends and advance Singapore's mindshare in this domain.
To be considered for this position, the successful candidate must have a Bachelor's degree in computer science/engineering or a related field. Proficiency in Python is a must, and experience with other programming languages such as Java, C/C++, or Go, and frameworks like PyTorch or TensorFlow, is highly advantageous.
The successful candidate must also have proficiency in working with common Linux distributions (e.g., Ubuntu, CentOS) and familiarity with shell scripting and command-line tools. Additionally, the candidate must have experienced in developing and deploying machine learning models, with a focus on natural language processing (NLP) and large language models (LLMs).
The ideal candidate will have 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.
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