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  • Research Engineer I (Trust Technologies)
    Digital Trust Centre
    Nanyang Technological University

    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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