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Job ID: 242285

Research Engineer I (Trust Technologies)
Nanyang Technological University


Date Posted Jul. 29, 2024
Title Research Engineer I (Trust Technologies)
University Nanyang Technological University
Singapore, Singapore
Department Digital Trust Centre
Application Deadline Open until filled
Position Start Date Available Immediately
 
 
  • Professional Staff
  • Computer/Information Sciences
    Sciences - General
 
 

Digital Trust Centre (DTC) 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:

  • Minimum 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.


 
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