[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 for Weather Research (DWR) is responsible for the research and, development of core seamless modelling systems for both weather and climate applications in Singapore and Southeast Asian region, and transition to operations of 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 2021, CCRS has been a core member of the international Unified Model (UM) partnership.
The Numerical Weather Prediction (NWP) Branch sits within DWR. The NWP branch is responsible for developing and improving nowcasting and local (km-scale and below) 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.
Data assimilation (DA) is a form of data science that combines observations and model output to provide an analysis of the state of a system at a particular time. Within the NWP Branch of CCRS, DA is a key R&D area used to initialise NWP forecasts through the assimilation of a wide range of space- and ground-based observations.
[What you will be working on]
- Keeping abreast of the latest research directions in data assimilation for NWP.
- Developing and testing the assimilation of select new observation types in operational numerical weather prediction systems.
- Exploring advanced data assimilation algorithms, especially those leveraging ensemble NWP systems, and machine learning techniques.
- Working in collaboration with CCRS’ local and international strategic partners to leverage DA research and development in the wider community within CCRS’ DA capabilities.
- Publishing research outcomes in peer-reviewed publications and presenting findings at international meetings.
[What we are looking for]
The job might be for you if you possess the following:
- Masters or PhD degree (or equivalent) in meteorology, data science, mathematics or a related field.
- At least 3 years research experience in developing and/or applying advanced data analytics in weather research projects.
- High level of proficiency in scientific computing.
- Familiarity with NWP systems and data assimilation is highly desirable.
- Research experience in meteorology, atmospheric science or a related topic 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
To apply, please proceed to Careers@Gov at https://sggovterp.wd102.myworkdayjobs.com/PublicServiceCareers/job/NEA-KIM-CHUAN-OFFICE/Senior-Research-Scientist--Research-Scientist--Numerical-Weather-Prediction-Branch-_JR-10000021985
