Research Engineer I (Trust Technologies)
NTU Main Campus, Singapore
Nanyang Technological University
Nanyang Technological University is one of the top universities in Singapore offering undergraduate and postgraduate education in engineering, business, science, humanities, arts, social sciences, education and medicine.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
Ability to work independently and to develop solutions under strict timelines is a must.
Good knowledge of middleware technologies, API development, related system frameworks and service stacks.
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: API Development APIs Computer Science Engineering Feature engineering Hadoop Java Linux Machine Learning Model training NoSQL Python RDBMS Research Security Shell scripting SQL Testing
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