HPC Domain Specialist (Climate/Weather), Frontier, NSCC

A*STAR Research Entities (A*STAR); Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

A*STAR Research Entities (A*STAR) invites applications for a Climate Domain Specialist to empower national climate modelling on the NSCC supercomputer. You will translate scientific goals into scalable, high‑performance simulations and collaborate with climate researchers across disciplines.

You will apply expertise in large‑scale numerical simulation, CFD, AI-driven modelling, and HPC software development, supporting the research community and guiding future HPC strategy within Singapore's

Qualifications

• Master’s degree in engineering, computer science, computational science, atmospheric science, applied mathematics, or another relevant field.
• Ideally, 3 years of experience in climate/weather simulation, CFD, AI-driven weather modelling, or other large-scale numerical simulation workloads.
• Experience building scientific modelling and simulation applications from source code.
• Strong knowledge of performance optimization, profiling and troubleshooting for compute-intensive workloads.
• Familiarity with climate/weather/CFD tools such as ICON, LFRic, MPAS, NEMO, WRF, OpenFOAM, SU2.
• Experience with HPC development toolchains and scientific software stacks.
• Proficiency with Linux, scripting, HPC profilers, and debuggers.
• Experience with HPC job schedulers, OpenMP & MPI, and container tech.
• Familiarity with GPFS and Lustre storage is a plus.
• Strong communication and teamwork, with a willingness to learn and adapt.

Responsibilities

• Provide HPC and scientific domain advice to NSCC users.
• Collaborate with researchers and disciplines with heavy computational needs.
• Support and optimize large-scale simulations.
• Work with HPC performance engineers to profile and model performance.
• Design and implement HPC software best practices for large applications.
• Assist planning of future HPC systems and benchmark workloads.
• Develop HPC utilities and automated testing tools.
• Develop HPC user guides and best practices.
• Stay updated with developments in scientific computing and HPC.

Skills

HPC & large-scale sim

CFD

Climate/weather modelling

Python

C/C++

Fortran

Linux

OpenMP MPI

Container technologies

Performance profiling & optimization

Education

Master’s degree in engineering, computer science, computational science, atmospheric science, applied mathematics, or another relevant field

Tools

ICON

LFRic

MPAS

NEMO

WRF

OpenFOAM

SU2

GraphCast

FourCastNet

Neko

Pangu-Weather

Job description

ABOUT THE ROLE

Singapore’s top climate and weather experts are tackling one of the most critical challenges of our time. As our Climate Domain Specialist, you will be their essential partner, the computational expert who empowers them to harness the massive power of the new supercomputer for their vital modelling.

Your work is the critical link that translates their scientific goals into high-performance simulations, enabling the high-resolution modelling essential for our national climate resilience strategy. You will bring expertise in large-scale numerical simulation and high-performance computing, with experience in climate/weather, AI-driven modelling, Computational Fluid Dynamics (CFD), or related computational science domains.

This is a rare opportunity to be the go-to HPC specialist for the nation’s climate research community, making a direct and lasting impact by scaling their work to new frontiers. Candidates from CFD and adjacent computational engineering domains who are keen to apply their expertise to climate and weather applications are also encouraged to apply.

RESPONSIBILITIES

• Provide HPC and scientific domain advice to users of NSCC systems.
• Engage and collaborate with new researchers, communities, and disciplines with computationally intensive requirements.
• Support and optimiselarge-scale scientific and numerical simulation workloads.
• Work with HPC performance engineers to profile and build performance models ofscientific applications and workflows.
• Design, develop and implement HPC software best practices forlarge-scale scientific applications and workflows.
• Assist in the planning and design of future HPC systems, including benchmarkingrelevant scientific and computational workloads on various platforms and recommending the most suitable architecture for the research community.
• Develop HPC utilities and automated testing tools for NSCC HPC systems.
• Develop HPC user and best practice guides for NSCC HPC systems.
• Keep up to date with developments inrelevant scientific computing domains, as well as HPC systems and software technologies.

QUALIFICATIONS

• Master’s degree in engineering, computer science, computational science, atmospheric science, applied mathematics, or another relevant field.
• Ideally, 3 years of experience inclimate/weather simulation, CFD, AI-driven weather modelling, or other large-scale numerical simulation workloads.
• Experience in buildingscientific modelling and simulation applications from source code.
• Good knowledge of scientific application performance optimisation, profiling and troubleshooting,particularly for computationally intensive workloads.
• Familiarity with commonly used applications and frameworks in climate/weather, AI-driven weather modelling and/or CFD would be advantageous. Relevant applications include:Climate/Weather: ICON, LFRic, MPAS, NEMO, WRFAI Climate/Weather: FourCastNet, AIFS, Anemoi, Earth-2, StormCast, GraphCast, Pangu-WeatherCFD: OpenFOAM, Neko, SU2
• Familiar with HPC development tool chains andscientific application software stacks relevant to computational modelling and simulation.
• Familiar with Linux, scripting languages, HPC profiler and debugger tools.
• Familiar with HPC job schedulers, OpenMP & MPI, and container technologies.
• Familiar with HPC storage e.g. GPFS and Lustre.
• Programming skills in C/C++, Python, or Fortran are highly desired.
• Demonstrated team player with strong problem-solving skills.
• Demonstrated effective communication skills, including the ability to articulate technical concepts to a diverse range of audiences.
• Demonstrated ability and willingness to contribute novel ideas and approaches in support of the research community.
• Demonstrated passion for continuous learning and exploring new technologies or domains, including the ability to apply computational expertise across different scientific domains.