Senior Research Scientist

Overview Senior / Research Scientist (Core Modelling Development Branch)The Centre for Climate Research Singapore (CCRS) is a division of the Meteorological Service Singapore (MSS). CCRS aims to advance scientific understanding of tropical climate variability and change and its associated weather systems affecting Singapore and the wider Southeast Asia region. The vision is to be a world leading centre in tropical climate and weather research focusing on the Southeast Asia region. Within CCRS, the Department for Weather Research (DWR) leads the research and development of our core tropical, convective-scale SINGV modelling system for both weather and climate change applications. DWR develops R&D and oversees the transition to operations of SINGV-based local numerical weather prediction capabilities with lead times up to two days ahead. DWR collaborates with CCRS’s Department of Climate Research (DCR), the High Performance Computing (HPC) Branch, MSS forecasters, and external partners through initiatives like the Climate and Water Research Alliance Singapore (CAWRAS). CCRS also engages with international organisations and joined the Momentum partnership (formerly Unified Model - UM) since 2022. The DWR Core Modelling Development (CMD) branch develops CCRS’s core SINGV modelling capabilities using physical-dynamical and data-driven/AI models, focusing on representations of physical and dynamical processes governing weather and climate in the Southeast Asian region. CMD works with CCRS branches, local agencies, and institutes of higher learning to advance core SINGV systems for weather and climate change applications. This position seeks an atmospheric scientist, data scientist or computer scientist to contribute to the development of next-generation atmosphere-land-ocean modelling systems that combine physical-dynamical and AI approaches. You will work with CCRS’s local and international partners to transition CCRS’s current UM-based SINGV model into a next-generation physically based and AI-enabled modelling system for better regional numerical weather prediction and climate projections. What you will be working on The job scope includes but is not limited to the following: Contribute to the development of CCRS’s next generation of AI and physical regional atmosphere and coupled ocean-atmosphere-land-wave modelling systems Apply AI, physical and hybrid models to explore the processes governing convective weather in deep tropics Develop ways of combining physical models with Artificial Intelligence (AI) to improve and accelerate regional weather prediction and climate simulations Work with local and international partners to expand the use of CCRS’s next generation (SINGV_NG) regional modelling capabilities in weather and climate research and applications 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: BSc/Master degree/PhD in atmospheric sciences, computer science, mathematics, physics, or a related field Postdoctoral research experience in an area of weather/climate modelling, artificial intelligence, mathematical modelling or a related subject (desirable)High level of proficiency in scientific programming (e.g., Fortran, Python) and experience of using HPC Familiarity with regional modelling, for example using the regional modelling suites developed under the Momentum Partnership, or the Model for Prediction Across Scales (MPAS) (desirable)Familiarity with the theory and application of Artificial Intelligence algorithms for solving physical problems (desirable)Good written and verbal communication skills, with publications in peer-reviewed journals (desirable)Experience working as part of a multi-disciplinary, international scientific team 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 at: #J-18808-Ljbffr