The incumbents will join our team to take part in research and development of sensors, AI and robotic technologies for local industries.

Responsibilities:

The appointee will provide support in research & development activities of the centre and he/she is required to:

• Develop and implement deep learning algorithms for industrial applications and in robotics and natural language processing (NLP)
• Responsible for system design and simulation;
• Carry out experiments/trials for validations; and
• Other ad hoc technical assignments. 

Requirements:

Applicants should have:

• Degree holder in Computer Science or Software/Computing/Electronic Engineering or related disciplines;
• Knowledge/experience of programming languages, for example C, C++, OpenCV and/or Python etc. will be an advantage;
• Knowledge/experience of some of the following areas will be an advantage: deep learning, machine vision, pattern recognition, point cloud processing, natural language processing, speech recognition (Cantonese) etc.;
• Practical experience in using different types of deep learning models such as RNN, LSTM, CNN. Experience in GAN and reinforcement learning is a plus;
• Minimum 3 years relevant post-qualification experience;
• Immediate available is definite advantage; and
• Candidates with less experience are welcome to apply and may consider as Software Engineer/Research Assistant.

Applicants should be proactive/self-motivated and hardworking in the day-to-day undertaking of assigned duties. The work location is in Shatin area. We offer successful candidates an attractive remuneration package with two years contract and with renewal possibilities. 

To apply, please send your CV and salary expectations to our Human Resources Section. LSCM R&D Centre is an equal opportunity employer, personal data collected will be used for recruitment purposes only. 

By mail: Human Resources Section, Logistics and Supply Chain MultiTech R&D Centre Limited, Level 11, Cyberport 2, 100 Cyberport Road, Hong Kong. 

by clicking 立即申請  

Application closing date: 2 November 2020