Young and research-intensive, Nanyang Technological University (NTU Singapore) is ranked among the world's top universities. The College of Science seeks a diverse and inclusive workforce and is committed to equality of opportunity. We welcome applications from all and recruit on the basis of merit, regardless of age, race, gender, religion, marital status, family responsibilities, or disability.
The School of Physical and Mathematical Sciences at NTU offers multidisciplinary academic programs that provide students with a wide-ranging and up-to-date education. They offer undergraduate training leading to BSc (Hons) and graduate training leading to MSc and PhD degrees.
We invite applications for an Assistant Professor / Associate Professor position specialising in Dynamical Systems and Mathematics of Machine Learning. We are looking for world-class candidates with expertise in dynamical systems, numerical analysis, stochastic analysis, and with experience in applying these domains to recurrent neural networks, state-space systems, reservoir computing, learning of dynamic processes, and mathematical learning theory in general. The successful candidate will be expected to teach both undergraduate and postgraduate courses in pure and applied mathematics, conduct high-quality research in the areas of dynamical systems, random dynamical systems, state-space systems, and their applications to machine learning theory and time series forecasting, and promote interdisciplinary collaboration among the disciplines of mathematics, physics, computer science, and engineering that push the development of reliable dynamical machine learning methods for applications. Candidates with strong academic portfolios are encouraged to apply. The successful candidate should actively seek collaborations with research groups beyond his/her research field and leverage on the multidisciplinary ecosystem of NTU.
The candidates are expected to:
Requirements:
Application Procedure
Required application documents:
Hiring Institution: NTU
Tagged as: Life Sciences
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