Computational Scientist (CPAS)

Responsibilities:

• Carry out research and development (R&D) on frontier topics in applying machine learning to weather prediction and computational fluid dynamics for urban environments;

• Train models that learn atmospheric data and meanwhile be consistent with physical laws;

• Write technical reports, documentation or slides;

• Collaborate with academic sector with targets on publishing papers;

• Develop a cloud-computing software platform for serving users 

Requirements:

• Master degree or above in Physics, Mathematics, Artificial Intelligence, Computer Science or related discipline;

• Strong background in machine learning, deep neural networks and cost function optimization techniques;

• Strong background in computer usages and programming skills; Experience with Linux/MacOS, computer languages and tools (Python and its packages);

• Good understanding of Physics, in particular fluid dynamics and thermodynamics, and weather science 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.

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