Computational Scientist (CPAS-SS)
Job Highlight
Job Description
Responsibilities:
-
Conduct research and development (R&D) for weather-related products / projects;
-
Carry out computational experiments for Numerical Weather Prediction (NWP) and Climate Change and evaluate the performance of NWP models;
-
Write technical reports, documentation or slides;
-
Collaborate with academic sector with targets on publishing papers;
-
Support routine operations of forecasting systems as well as the underlying HPC / IT infrastructures;
-
Support preparation works associated with potential customers as well as follow-ups.
Requirements:
-
Master in Meteorology, Earth Science, Physics or related discipline, or Bachelor in the above disciplines plus 2 years of work experience;
-
Strong background in computer usages and programming skills;
-
Experience with computational environments (Linux/MacOS), computer languages (e.g. Python), and plotting and analysis tools (Python libraries: Numpy, xarray, matplotlib/Pyviz etc.) usually used for atmospheric modelling;
-
Good understanding of atmospheric dynamics and modeling of physical processes
-
Experiences with numerical weather prediction models (WRF, MPAS), data assimilation would be an advantage;
-
Candidate with higher academic qualification and/or more related experience may be considered as Senior Computational Scientist;
-
Good logical thinking and analytical mind;
-
Eager to learn, responsive with a can-do attitude at work, willing to take up challenges;
-
Team player, proactive in idea sharing with good communication skills;
-
Good spoken and written Cantonese/Mandarin and/or English.
All applications applied through our system will be delivered directly to the advertiser and privacy of personal data of the applicant will be ensured with security.
Job Function | |
Work Location | Sha Tin |
Education |
Degree
|
Skills | Communication |
Spoken Language | Intermediate Cantonese / Intermediate English / Intermediate Mandarin |
Written Language | Intermediate Chinese / Intermediate English |
Employment Type | Full Time |
Industry | IT / E-Business |