Senior/ Research Scientist (Numerical Weather Prediction Branch)

[What the role is]
The Centre for Climate Research Singapore (CCRS) is a division of the Meteorological Service Singapore (MSS). At CCRS, our mission is to advance scientific understanding of tropical climate variability and change and its associated weather systems affecting Singapore and the wider Southeast Asia region, so that the knowledge and expertise can benefit decision makers and the community. Our vision is to be a world leading centre in tropical climate and weather research focussing on the Southeast Asia region.
Within CCRS, the Department of Weather Research (DWR) leads the research and development (R&
D) of our core tropical,convective-scale 'SINGV' modelling system for both weather and climate change applications. DWR also undertakes R&
D and oversees the transition to operations of SINGV-based local numerical weather prediction (NWP), marine and haze/air quality forecasting with lead times up to a week ahead. The DWR works closely with CCRS's Department of Climate Research (DCR) and High Performance Computing (HPC) Branch, MSS forecasters, local universities, and a number of international organisations including the UK Met Office, Australian Bureau of Meteorology, and US National Centre for Atmospheric Research (NCAR). Since 2022, CCRS has been a core member of the international Unified Model (UM) partnership.
The DWR/NWP branch is responsible for developing and improving nowcasting and regional NWP systems, and translating the outputs into customised products for supporting MSS weather services and other stakeholders. The branch also works closely with local agencies, institutes of higher learning and UM partners to share research outcomes and deliver improved forecast products for the region.
Rainfall nowcasting is a key R&
D area at CCRS to provide timely and actionable very-short-range (
[What you will be working on]
The specific job responsibilities of this position include:

• Keeping abreast with the latest research and development in radar meteorology and machine-learning (ML)-based nowcasting application.
• Maintaining and improving the radar data processing chain, including quality control, signal processing and compositing.
• Developing operational nowcasting system dashboards.
• Developing ML-based rainfall nowcasting algorithms both for research and operationally deployment.
• Publishing research outcomes in peer-reviewed publications and presenting findings at international meetings.
• Working with stakeholders to tailor verification metrics according to requirements/needs.

[What we are looking for]
The job might be for you if you possess the following:

• Masters or PhD degree (or equivalent) in meteorology, machine learning, data analytics or a related field.
• At least 3 years of research experience in radar data processing for environmental research projects is desirable.
• High level of proficiency in scientific computing.
• Research experience in meteorology, atmospheric science or nowcasting is desirable.
• Familiarity with machine learning Python packages (e.G., PyTorch, Tensorflow) is desirable.
• Good written and verbal communication skills, with publications in peer-reviewed journals are desirable.
• Ability to work effectively to deadlines on individual projects and as part of a diverse team.
• Interest and passion to deliver relevant R&
  D for societal benefits.
• Ability to network effectively with the local and international research community.
• Ability to engage and communicate with scientists and stakeholders from diverse communities.
• As part of the shortlisting process for this role, you may be required to complete a medical declaration and/or undergo further assessment.

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