[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) leads the research and development (R&D) of our core ‘SINGV’ modelling system for convective-scale weather and climate change applications in the Southeast Asia region. DWR also oversees broader R&D (e.g. AI-based prediction, data assimilation, etc.) and the research to operations (R2O) transition of nowcasting and numerical weather prediction (NWP) capabilities with lead times up to two days ahead. The DWR works closely with CCRS’s Department of Climate Research (DCR) and High Performance Computing (HPC) Branch, and MSS forecasters. Externally, CCRS is developing strategic collaborations with local universities and research institutes through the recently formed Climate and Water Research Alliance Singapore (CAWRAS). CCRS also works closely with 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 Momentum (formerly Unified Model - UM) partnership.
The DWR Core Modelling Development (CMD) branch is responsible for developing SINGV, using both physical-dynamical and data-driven/Artificial Intelligence (AI) approaches. A key focus is the representation of the underlying physical and dynamical processes governing weather and climate in the Southeast Asian region. The CMD branch works closely with other CCRS branches to further develop/evaluate the core SINGV system in specific weather and climate change applications, and with local agencies and institutes of higher learning to share research outcomes and further develop advanced modelling systems for the region.
[What you will be working on]
The specific job responsibilities of this position includes:
- Developing research plans and strategies and leading research activities in the development of CCRS’s next-generation of AI and physical regional atmosphere and coupled ocean-atmosphere-land-wave modelling systems (SINGV_NG).
- Coordinating international CCRS collaborations with Momentum partners on regional high-resolution modelling system development and evaluation.
- Instigating and leading SINGV-NG-based research collaborations with local partners through the new Climate and Weather Research Alliance Singapore (CAWRAS).
- Managing a dynamic, international CMD team and mentoring junior staff.
- Effective communication of research to stakeholders. Support and perform personal dosimetry services efficiently and reliably to ensure worker safety across Singapore
[What we are looking for]
Job Requirements:
- PhD (or equivalent) in atmospheric science or a related field.
- At least 5-year postdoctoral research experience in weather/climate modelling, artificial intelligence or mathematical modelling, with a demonstrated publishing record and citations in key refereed research journals.
- Experience in convective scale regional modelling systems e.g. the Unified Model, LFRic, or the Model for Prediction Across Scales (MPAS).
- Proven ability to lead a team of expert scientists, including experience in staff recruitment, management and supervision.
- Versatile and creative verbal and written communication skills, able to communicate detailed technical/ scientific information into easily understood, engaging, influential and informative article/programme to a broad range of audiences.
- Familiarity with the theory and application of Artificial Intelligence algorithms for solving physical problems (desirable).
- Experience as a Principal Investigator (PI, or Co-PI) for collaborative multi-institute weather/climate research projects (desirable).
Applicants will be updated on the status of their applications within 4 weeks of the closing date of this job posting.