Trust Technology Researcher

3 days ago

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

Nanyang Technological University's National Centre for Research in Digital Trust (DTC) is a leading research centre that focuses on executing a national program to establish Singapore as a strong trust hub. Our key objective is to support efforts to create a trusted digital environment for individuals and businesses in the digital transformation by providing assurance and confidence as they digitalize.

We are looking for a Research Engineer to be involved in research and development collaboration with industry, particularly on AI Safety and Trust Technology. The successful applicant will work on topics such as applying secure multi-party computation, homomorphic encryption, and federated learning in privacy-preserving machine learning. They should be familiar with fully homomorphic encryption and its applications in AI models.

Key Responsibilities:
  • Conduct research into trust technologies testing - translating algorithms, tools, and frameworks into working prototypes that can explain how research outputs can be productised into new capabilities.
  • Work closely with Centre's researchers to design and develop system implementation work from research into the product.
  • 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 degree in computer science/ engineering or related fields.
  • Proficiency in C/C++, Python and machine learning framework such as PyTorch/TensorFlow are essential. Proficient with Linux (e.g., Ubuntu, CentOS) and shell scripting.
  • Strong knowledge of machine learning and deep learning techniques (e.g., CNN and tree-based ML models). Cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes) experience required. Experience with Secure Multi-Party Computation (SMPC), Homomorphic Encryption (HE) and Federated Learning (FL) is a plus.
  • Familiarity with Git and collaborative development tools with experience in end-to-end ML system development (data exploration, feature engineering, model training/evaluation) is advantageous. Solid understanding of software engineering principles and best practices and the ability to explain complex technical concepts to both technical and non-technical audiences.
  • Competent with strong analytical, problem-solving, and innovative thinking skills and a good understanding of ethical AI practices, especially related to data privacy and security.
  • Interpersonal skill (e.g. Self-motivated, able to work independently in a fast-paced environment with strong collaboration skills. Experience working in cross-functional teams with attention to detail and commitment to delivering high-quality results.)

We regret to inform that only shortlisted candidates will be notified.

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