A Corp Lab in NTU is looking for a Research Scientist to support research work under the project “Urban Sustainability” which aims to develop a suite of techniques for efficiently and effectively building new digital infrastructure of city scenes, managing all city data in a high definition and 3D/4D referencing system, and performing simulation, interaction, and analysis on the digital twin city model. The Research Scientist will work on the simulation aspect of the project, focusing on i) data-driven model creation and auto-calibration of agent-based simulations; ii) dynamic creation of simulation instances for providing modelling and simulation as service on the Cloud; and iii) speeding-up and scaling-up agent-based simulations.
Key Responsibilities:
- To support research work under the project “Urban Sustainability” which aims to develop a suite of techniques for efficiently and effectively building new digital infrastructure of city scenes, managing all city data in a high definition and 3D/4D referencing system, and performing simulation, interaction, and analysis on the digital twin city model.
- Work on the simulation aspect of the project, focusing on i) data-driven model creation and auto-calibration of agent-based simulations; ii) dynamic creation of simulation instances for providing modelling and simulation as service on the Cloud; and iii) speeding-up and scaling-up agent-based simulations.
- To conduct high-quality research on algorithm design, analysis, and performance evaluation and publish research outcomes in top tier conferences and journals.
Job Requirements:
- PhD degree in computer science or related field
- Strong scientific publication record
- Experience in discrete-event modelling and simulation and data-driven applications
- Excellent programming skills and experience in large system development
- Ability to work independently and with a large team
- Excellent analytical, technical, and problem solving skills
- Strong verbal and written English communication skills
We regret that only shortlisted candidates will be notified.