Scientist (Physical Oceanography/Atmospheric Science/Meteorology/Geophysical Fluid Dynamics)

A*STAR Research

Singapore

On-site

SGD 70,000 - 110,000

Full time

6 days ago
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Job summary

A*STAR Research in Singapore invites a qualified researcher to set up, configure, and optimize the OASIS3-MCT coupled modelling system at NSCC, and to integrate regional atmosphere and ocean models. The role includes running sensitivity experiments and assessing coupling performance.

You will present results at meetings and conferences, contribute to reports and journal papers, and engage in training as required.

Qualifications

  • Minimum 3 years of relevant research/industry experience.
  • Strong background in atmospheric science, meteorology, physical oceanography, ocean modelling and hydrodynamics.
  • Experience with regional coupled modelling systems and OASIS3-MCT model coupling toolkit.
  • Understanding of air-sea interaction/coupling and flux exchanges.
  • Experience with LFRic/NEMO or other atmosphere/ocean models is a plus.
  • Knowledge of Linux OS and shell scripting.
  • Experience with HPC/supercomputers.

Responsibilities

  • Set up, configure, optimize OASIS3-MCT at NSCC.
  • Integrate regional atmosphere and ocean models via OASIS3-MCT.
  • Carry out sensitivity experiments using the coupled modelling system.
  • Assess performance of one-way and two-way coupling.
  • Attend meetings with collaborators and present results.
  • Write reports and publish journal papers.
  • Present results at international conferences.
  • Attend training/workshops as required.

Skills

Atmospheric science
Meteorology
Physical oceanography
Ocean modelling
Hydrodynamics
Air-sea interaction
Flux exchanges
Linux
Shell scripting
C
C++
Python
Fortran
MATLAB
NEMO
OASIS3-MCT toolkit

Tools

OASIS3-MCT toolkit
LFRic/NEMO
CDO
NCO
MATLAB
Ferret/pyFerret

Job description

Job Description
  • Set up, configure, optimize the OASIS3-MCT at NSCC.
  • Integrate regional atmosphere and ocean models via the OASIS3-MCT.
  • Carry out sensitivity experiments using the coupled modelling system.
  • Assess performance of one-way and two-way coupling.
  • Attend regular meetings with collaborators and present results.
  • Write reports and publish journal papers.
  • Present results at international conferences.
  • Attend training/workshops as required.
  • Any other duties as assigned.
Job Responsibilities:
  • Set up, configure, optimize the OASIS3-MCT at NSCC.
  • Integrate regional atmosphere and ocean models via the OASIS3-MCT.
  • Carry out sensitivity experiments using the coupled modelling system.
  • Assess performance of one-way and two-way coupling.
  • Attend regular meetings with collaborators and present results.
  • Write reports and publish journal papers.
  • Present results at international conferences.
  • Attend training/workshops as required.
  • Any other duties as assigned.
Job Requirements
  • Preferably minimum 3 years of relevant research/industry experience.
  • Strong background of atmospheric science, meteorology, physical oceanography, ocean modelling, and hydrodynamics.
  • Experience of using regional coupled modelling system and OASIS3-MCT model coupling toolkit.
  • Understanding of air-sea interaction/coupling and flux exchanges.
  • Experience of using LFRic/NEMO or other atmosphere/ocean models is a plus.
  • Knowledge of Linux operating system and shell scripting.
  • Experience of working on HPC/supercomputer.
  • Good knowledge and skill in programming languages (e.g., Fortran, C, C++, Python)
  • Experience of handling large global data set (netCDF format) using CDO and NCO.
  • Familiar with MATLAB, and Ferret/pyFerret or similar.
  • Knowledge in handling satellite, in-situ, reanalysis/hindcast data will be an advantage.
Other Requirements
  • Good interpersonal and communications skills.
  • Ability to adapt and work effectively as members of a team.
  • Resourceful and self-driven with a high degree of professional integrity.
  • Solid organizational skills including attention to detail and multitasking skills.
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