Description

Mengaldo’s Laboratory at National University of Singapore is looking for a self-motivated, proactive and creative Research Assistant in dynamical system theory and machine learning for extreme weather forecasting applications. The project is in collaboration with 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.

Job requirements

• Master in Computer Science, Applied Mathematics, Physics, or Engineering.
• Coding and software development (Python, MPI, Tensorflow or Pytorch).
• Data science, and dynamical system theory.
• Large-scale spatio-temporal data analysis.
• Natural Language Processing.
• Interest in weather and climate.
• Good problem-solving skills.
• Proficient in English writing and verbal communication skills.

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$ 3500-4800/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.