Research Associate, Computational Fluid Dynamics
This project is to simulate fluid flows by using quantum machine learning techniques. The work will involve the building of neural networks for simulation of fluid flows and quantum computing in fluid mechanics.
The proposed project extensively involves mathematical modelling, computer programming, and numerical simulation. It requires researchers to have strong background in mathematics and computational physics. The candidate must have experiences in machine learning and quantum computing.
At NUS, the health and safety of our staff and students are one of our utmost priorities, and COVID-vaccination supports our commitment to ensure the safety of our community and to make NUS as safe and welcoming as possible. Many of our roles require a significant amount of physical interactions with students/staff/public members. Even for job roles that may be performed remotely, there will be instances where on-campus presence is required.
Taking into consideration the health and well-being of our staff and students and to better protect everyone in the campus, applicants are strongly encouraged to have themselves fully COVID-19 vaccinated to secure successful employment with NUS.