We are hiring 1 Postdoctoral Fellow in dynamical system theory and
machine learning for extreme weather forecasting applications.
The ideal candidate should be skilled in coding, and software development,
and be highly proficient in Python, large-scale spatio-temporal data
analysis (ideally the ERA5 and other reanalysis datasets), dynamical
system theory, reduced order modelling (including POD, SPOD and Autoencoders),
and neural networks. The project is in collaboration with several partner
institutions:
ECMWF ,
Argonne National Laboratory (USA),
CNRS (France),
and
University of Cambridge (United Kingdom), the latter starting from 2023. The primary objective of the project is to
provide a fast computational framework for extended-range extreme weather
forecasts, as well as quantify damage and develop mitigation strategies
for extreme weather events.
Location and conditions
The position is based at the National University of Singapore (NUS),
College of Design and Engineering
Singapore, 21 Lower Kent Ridge Road, 119077.
Salary range: S$ 4800-5800/month
Contact us
If you are interested in joining us, please
email us your CV. In the CV, please include: education background,
working experience, list of publications, and at least
3 references
that can provide recommendation letters.
Our group thank all applicants for their interest,
however only those candidates selected for interviews
will be contacted.