INSPIRASI - Indonesia–NTU Singapore Institute of Research for Sustainability and Innovation is looking for a Research Engineer to develop, implement, and oversee techniques and systems in trusted decentralized data sharing and privacy preserving artificial intelligence, and related areas such as security, privacy, sovereignty, and blockchain, which are important components of such platform. The role will focus on emerging technologies that engenders privacy preserving data sharing for collaboration as well as privacy preserving machine learning for intelligence.
Key Responsibilities:
- Conduct research in technologies and systems in trusted decentralized data sharing and privacy preserving artificial intelligence – 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.
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 that only shortlisted candidates will be notified.
