Senior/ Research Scientist (numerical Weather Prediction Branch)

Singapore, Singapore

Job Description


[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 tropical, convective-scale \xe2\x80\x98SINGV\xe2\x80\x99 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\xe2\x80\x99s 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.

This position will further enhance CCRS\xe2\x80\x99s NWP postprocessing efforts to provide a wider range of more skilful NWP products using advanced data science approaches and optimizing the blending of multiple forecast products.

[What you will be working on]

To keep abreast with the latest research and developments in the area of NWP postprocessing.

Developing and testing new postprocessing algorithms on NWP outputs and observations using statistical methods.

Performing NWP verification as part of the postprocessing development.

Working with local and international institutes to cultivate relevant research collaborations and partnerships.

Integrating existing postprocessing algorithms into production-ready software.

Publishing research outcomes in peer-reviewed publications and presenting findings at international meetings.

Working with stakeholders to identify and tailor products 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 data analytics, meteorology, mathematics or a related field.

At least 3 years of research experience in developing and/or applying advanced data analytics in environmental research projects.

High level of proficiency in scientific computing.

Research experience in meteorology, atmospheric science or a related topic is desirable.

Familiarity with NWP systems and their output formats (e.g. netCDF) 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.

Applicants will be updated on the status of their applications within 4 weeks of the closing date of this job posting.

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Job Detail

  • Job Id
    JD1363182
  • Industry
    Not mentioned
  • Total Positions
    1
  • Job Type:
    Full Time
  • Salary:
    Not mentioned
  • Employment Status
    Permanent
  • Job Location
    Singapore, Singapore
  • Education
    Not mentioned