Job Description

At SIT\'s Professional Officers Division, we bring our rich industry experience and technical skills into our work, creating a better physical environment where learning and innovation take place. We work with teaching programmes and innovation projects to improve the skills of our students and to strengthen & energise our industry and the wider community. A Professional Officer has a combination of job responsibilities relating to the following: participate in and manage innovation projects, manage digital technology related resources, and mentor & facilitate student learning.

For this role, you will research and develop a robust big data architecture which can support various components of the LLOS (Living Lab Operating System), an online R&D platform, through direct hands-on implementation, leading a team, and/or liaising with external parties. The data architecture supports the LLOS with various data operations: ingestion, fusion, cleaning, augmentation, delivery, analytics, visualization, and reporting. You will oversee the whole process from planning, developing, testing, deploying, to publication.

Another role you will be responsible for is developing and delivering digital skills related literacy courses to undergraduates in various programmes and staff as part of the institutional drive towards digitalization. You will also participate in and manage student projects which includes mentoring and facilitating student learning during the project.

Key Responsibilities

• Collaborate with faculty and corporate divisions on the data-related LLOS projects.
• Supervise external parties and mentor students in the development of the projects.
• Analyse user requirements, research, design, write, maintain, and/or disseminate the new data operation components.
• Manage digital technology related resources within the division such as (but not limited to) being a system administrator for software, hardware systems, and equipment.
• Provide support in ad-hoc activities such as (but not limited to) promoting awareness in digital and data literacy.
• Develop and deliver digital skills literacy related courses or workshops to undergraduate students and staff. Development of learning activities and assessment of students is one of the responsibilities.
• Provide consultations to undergraduate students and staff on digital skills/technology related queries and access feasibility of potential project ideas.

• Holding a PhD or Master degree in Electronic Engineering or Computing science from a recognized University, with 3-5 years of relevant experience.
• Have published in renowned international scientific conferences and/or journals.
• Proficient in programming and experienced in several languages such as (but not limited to) C, C++, Java, Python.
• Experience in data warehouse, data lake, data analytics, and various big data platforms and tools such as (but not limited to) Apache Hadoop, Apache Attic, Apache Impala, Apache Spark.
• Experience in cloud platforms such as Amazon Web Services, Microsoft Azure, and or Google Cloud Platform. Holding a valid official professional certification for the platform will be an additional advantage.
• Experience in using statistical programming tools to manipulate data and draw insights from large data sets.
• Has knowledge of a variety of machine learning techniques such as (but not limited to) clustering, decision tree learning, artificial neural network, and their real-world advantages/drawbacks.
• Has knowledge of advanced statistical techniques and concepts such as (but not limited to) regression, properties of distributions, statistical tests, and proper usage.
• Keen interest to support academic project work, with demonstrated ability in developing software solutions to technical problems.
• Possess strong supervisory skills and project management skills.
• Enjoy working with students in an educational environment.
• Demonstrate proficiency to stay up to date on emerging technologies and new applications.
• Good interpersonal skills and ability to work individually or in a team and with other divisions.
• Innovative mindset and passion in digital technology is required.

Times Higher Education