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Postdoctoral Researcher, Smart Mobility

Hong Kong Productivity Council • Full Time • Kowloon Tong, Hong Kong, HK • 1w ago

Responsible for government-funded R&D projects
Prepare proposals and report related to project progress
Engage in partnership with industry partners and Universities

Postdoctoral Researcher, Smart Mobility
Centre of Advanced Power and Autonomous Systems (APAS)

Ref: APAS/10892

Job Description

Who we are looking for:

Creativity in new ideas and future focus vision.
Collaboration with colleagues and the community at large.
Work Smart, Play Smart!

What you'll do:

Responsible for government-funded R&D projects implementation on including but not limited to the field of Robotics, Automotive and New Energy
Prepare proposals and report related to project progress and issues in timely manner. Ensure full compliance of project goals and Innovation and Technology Fund (ITF)’s requirements
Engage in partnership with industry partners and Universities
Organise promotional activities related to the projects, such as study missions, presentation on workshops or technical seminars, capability building and exhibition etc
Support ad hoc projects and assignments and occasional travels to Chinese Mainland or overseas may be required

You'll be a good fit if you have/are:

Doctoral Degree holder in Automotive Engineering, Mechanical Engineering, Electrical/ Electronic/ Information Engineering, Computer Science, Robotics, Automotive, Artificial Intelligence, Energy or related disciplines
Experience in R&D, government projects and patent applications preferred but not necessary
- Knowledge and experience in any ONE of the following expertise will be is a plus:
- Build AI models using platforms, such as cuDNN, TensorRT, C++ programming in Linux, etc.
- Hands-on skills in one of any deep learning platforms, such as Keras, Tensorflow, Caffe, CNTK, PyTorch, etc.
- Automotive system design
- Mechanical design
- EV technology development (Battery, E-Powertrain, Charging etc.)
- System and Software development (in C/C++, Python or Java, etc.)
- Robotic, ROS, Point cloud
- Embedded system design
- Self-driving
- Software architecture design
- Vehicle communication network (CAN/LIN etc.)
Strong analytical mind with problem solving skills
Applicant will be assigned to different projects subject to relevant working experience
Candidates who can demonstrate knowledge of AI, or experience and ability to apply Generative AI tools in their work, will be preferred

Note:

1. Applicant may be considered for other positions if not matching the requirements of the subject position.

2.This is a position funded by the Research Talent Hub Programme under the Innovation and Technology Fund (ITF) to conduct R&D project.

What we offer and What you’ll like here:

Exciting new technology development (e.g. AI, Software, New Energy, IoT, LLM, etc.) to actualize your creative ideas
Opportunities to work with our innovative and vibrant talents
Embracing work flexibility (including Flexi-work hour)
Dynamic and energetic culture with smart outfits and sport shoes
Academic training scholarship to take your career up a notch
Dental benefit
Medical benefits from Day-1 with extended coverage to dependent(s)

Apply Now if you’re ready to take the challenge! Do not miss this opportunity to join us to Create Value and “MAKE SMART SMARTER”!

HKPC will take into consideration both the quantitative and qualitative requirements of the post when selecting the suitable candidates. A competitive salary package commensurate with academic qualifications and experience will be offered. The successful candidate will be employed on a fixed-term contract basis, which is renewable subject to appointee’s performance and the Council’s development needs.

Applicants are welcome to submit application at the HKPC e-Recruitment System (careers.hkpc.org) in 1 week from the posting date. Recruitment will continue until the position is filled.

Applicants not invited for interviews within 6 weeks may consider their applications unsuccessful. All information provided by applicants will be treated with strict confidence and used solely for recruitment purposes. The personal data of unsuccessful applicants will be retained for 12 months from the date the recruitment process is completed.

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