We are seeking to recruit a post-doctoral researcher to work at the interface between fluid mechanics, soft matter physics, biomimetics, scientific computing and artificial intelligence (AI) and join the research group of Dr. Lailai Zhu (www.lailaiflow.com) at the National University of Singapore (NUS). The position will mostly start from the second half of 2021 depending on the time required for the visa application and the availability of the candidate. The contract is initially for one year, and can be extended depending on the postdoc’s performance and mutual agreement.
The postdoc will be developing AI-powered control schemes to facilitate designing synthetic swimming micro-robots that can be manipulated in complex biological environments. The project is of computational and theoretical nature. Interested candidates are encouraged to contact Dr. Zhu by writing him an email with an enclosed CV.
A PhD degree in engineering, physics or applied mathematics.
A decent understanding of machine learning techniques and/or control theory, such as artificial neural network, reinforcement learning, feedback control and so on. A proven track record of applying such techniques to mechanical settings, or soft matter physical systems, or fluid/continuum mechanics problems will be a great plus.
Basic knowledge of fluid/continuum mechanics or soft matter physics is a plus, but is not required.
Experience in numerical methods and scientific computing is needed. Track record of numerical simulations of hydrodynamics, viscous flows or more general flows in other regimes, especially with moving objects will be a plus, but is not required.