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 research algorithms, and design/develop 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 product Design and build working tools that can support technology transfer of new research capabilities to practical solution capabilities that 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, help to educate and raise the overall competency of Singapore manpower 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 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 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 is an advantage. Proficiency and experience in working with different virtualization technologies to enhance cloud service system performance is a must Experience in developing AI/ML systems from end to end, including data exploration, feature engineering, model training/evaluation is an advantage Experience in developing AI/ML systems from end to end, including data exploration, feature engineering, model training/evaluation will be advantageous We regret to inform that only shortlisted candidates will be notified. Hiring Institution: NTU A research-intensive public university, Nanyang Technological University, Singapore (NTU Singapore) has 33,000 undergraduate and postgraduate students in the Engineering, Business, Science, Humanities, Arts, Social Sciences, and Graduate colleges. It also has a medical school, the Lee Kong Chian School of Medicine, established jointly with Imperial College London. NTU is also home to world-class autonomous institutes – the National Institute of Education, S Rajaratnam School of International Studies, Earth Observatory of Singapore, and Singapore Centre for Environmental Life Sciences Engineering – and various leading research centres such as the Nanyang Environment Water Research Institute (NEWRI) and Energy Research Institute @ NTU (ERI@N). Ranked amongst the world’s top universities by QS, NTU has also been named the world’s top young university for the past seven years. The University’s main campus is frequently listed among the Top 15 most beautiful university campuses in the world and has 57 Green Mark-certified (equivalent to LEED-certified) buildings, of which 95% are certified Green Mark Platinum. Apart from its main campus, NTU also has a campus in Novena, Singapore’s healthcare district. Under the NTU Smart Campus vision, the University harnesses the power of digital technology and tech-enabled solutions to support better learning and living experiences, the discovery of new knowledge, and the sustainability of resources. For more information, visit www.ntu.edu.sg About NIE About RSIS About LKCMedicine About NTUItive