Trainee, Research Assistant, AI/Data Analytics/Robotics and Smart Computing
In conjunction with Workforce Singapore, NTU offer traineeships to support the SGUnited Traineeships Programme. The Traineeships are part of NTU's efforts to create relevant and meaningful traineeship opportunities for our nation’s new graduates entering the workforce during this difficult time.
About the Singtel Cognitive and Artificial Intelligence Lab for Enterprises (SCALE@NTU)
The Singtel Cognitive and Artificial Intelligence Lab for Enterprises (SCALE@NTU) is a S$42.4 million and 5-year collaboration jointly established by NTU, Singtel and the National Research Foundation Singapore in December 2017 to support Singapore’s transformation into a Smart Nation and help enable the country’s digital economy.
Research and development efforts in SCALE@NTU focus on AI, data analytics, robotics and smart computing. The lab will allow researchers to develop applications for use in the areas of public safety, smart urban solutions, transportation, healthcare, and manufacturing. It also aims to resolve various challenges faced by cities in keeping their infrastructure facilities in tip-top condition.
This partnership is expected to deliver technical disclosures, file patents as well as expand the product range of Singtel and its regional info-communications technology subsidiary NCS. It will also train more than 100 researchers, engineers and students from NTU and Singtel in the areas of AI, data analytics and edge intelligence. Such capabilities are relevant and beneficial to Singapore’s Smart City ecosystem.
The candidate will be involved in R&D in the areas of advanced machine learning and AI algorithms for intelligent transport, IoT, robotics and computer vision etc. He/she is expected to conduct background knowledge acquisition and literature review, research and development on AI and machine learning algorithms, implementation and coding on the latest research platforms, building prototypes and testing solutions, data collection and processing, documenting research plans and progress, and writing reports and papers for publication. The research domains include:
- Spatial temporal data mining with applications in transportation
- Human tracking
- Face analytics
- Resource optimization
- Path planning
- Object tracking
- Location Sensing
- Smart building
- Non-invasive sensing
- Image and Video Analytics (Lu Shijian)
Each domain area will be open to one trainee only. Please indicate interested domain area(s) in your application.
- Bachelor degree in computer science and engineering, electrical/electronics engineering or related fields
- Basic understanding of research and analytical skills
- Willingness and ability to develop new skills
- Effective communication and report writing skills
- Highly motivated, independent and able to work as a team
Hiring Institution: NTU