Computational Scientist

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; Qualifications 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 usage 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. Interested parties please apply with detailed resume and covering letter (in MS Word / PDF Format), stating current and expected salary to #J-18808-Ljbffr