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Search for University Jobs in Sciences
Job ID:
242285
Research Engineer I (Trust Technologies)
Nanyang Technological University
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Date Posted
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Jul. 29, 2024
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Title
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Research Engineer I (Trust Technologies) |
University
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Nanyang Technological University
Singapore, Singapore
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Department
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Digital Trust Centre |
Application Deadline
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Open until filled |
Position Start Date
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Available Immediately |
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Digital Trust Centre (DTC) is looking for a candidate to join them as a Research Engineer I.
Key Responsibilities:
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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.
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Work closely with Centre’s researchers to design and develop system implementation work from research into the product.
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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.
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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.
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Engage global partners and researchers to understand latest trends and advance Singapore’s mindshare in this domain.
Job Requirements:
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Minimum Bachelor’s degree in computer science/ engineering or related fields.
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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.
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Proficiency with working with common Linux distributions such as Ubuntu, CentOS, RHEL etc. (including shell scripting) is a must.
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Proficiency and experience in developing network and communication protocols and using socket programming in cloud-based systems is a must.
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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.
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Proficiency and experience in working with different virtualization technologies to enhance cloud service system performance is a must.
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Experience in developing ML systems from end to end, including data exploration, feature engineering, model training/evaluation will be advantageous.
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Ability to code-switch effortlessly between talking business and talking tech, and can help stakeholders, engineers, and businesses easily understand difficult research tech concepts
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Good knowledge of system platform development, socket programming, middleware technologies, API development, related application frameworks and service layer models.
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Familiarity with general API security concepts (such as key validation, authentication, authorisation)
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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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