Research Engineer I (Trust Technologies)

Updated: 10 months ago
Location: Singapore,
Job Type: FullTime
Deadline: The position may have been removed or expired!

National Centre for Research in Digital Trust (NCDT) is looking for a candidate to join them as a Research Engineer I.

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 programming languages Java, C/C++ is a must.  Experience in other programming languages and/or frameworks such as Python, Go, Spring will be an advantage.

  • Proficiency with working with common Linux distributions such as Ubuntu, CentOS, RHEL etc. (including shell scripting) is a must.

  • Proficiency and experience in developing network and communication protocols and using socket programming in cloud-based systems is a must.

  • Proficiency in installing, configuring and using SQL database is a must.  Experience in other data processing technologies such as NoSQL, Hadoop will be an advantage.

  • Proficiency and experience in working with different virtualization technologies to enhance cloud service system performance is a must.

  • Experience in developing ML systems from end to end, including data exploration, feature engineering, model training/evaluation will be advantageous

  • Ability to code-switch effortlessly between talking business and talking tech, and can help stakeholders, engineers, and businesses easily understand difficult research tech concepts

  • Good knowledge of system platform development, socket programming, middleware technologies, API development, related application frameworks and service layer models.

  • Familiarity with general API security concepts (such as key validation, authentication, authorisation)

  • Good understanding of relational database and Unix shell scripting skills.

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

Hiring Institution: NTU



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