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Postdoctoral Researcher, Automotive/ Smart Living
Company name

Hong Kong Productivity Council

Job Type
Full Time
Job Description

Responsible for government-funded R&D projects implementation including but not limited to the field of Internet of Things (IoT), Artificial Intelligence, robotics, Automotive, Mechanical, Electrical, Electronics
Utilize various techniques of audio signal processing/ image processing, machine/deep learning, building Deep Neural Network (DNN) and other neural networks to conduct development work
Work closely with supervisor to keep track of progress. Ensure full compliance of project goals and Innovation and Technology Fund (ITF)’s requirements
Support the development work, collect and analyze data; learn and master application of different techniques or technologies including Artificial Intelligence, machine learning, simulation, system design, machine vision, etc.
Prepare proposals and report related to project progress and issues in timely manner
Engage in partnership with industry partners and Universities
Organize 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 Mainland China or overseas may be required

Job Requirement

Doctoral Degree holder in Automotive Engineering, Mechanical Engineering, Electrical/ Electronic/ Information Engineering, Computer Science, Robotics, Automotive, Artificial Intelligence or related disciplines

Experience in R&D, government projects and patent applications preferred but not necessary

Experience in conducting research in digital signal processing, IoT communication technologies, wireless communication, big data analytics, automotive technologies, sensor technologies, computer science, automation is an advantage

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 Charger & Electrical design

Internet of Things (IoT) devices and/or Information Communication Technology

System and Software development (in C/C++, Python or Java, etc.)

Robotic, ROS, Pointcloud

Speech and noise recognition

Strong analytical mind with problem solving skills

Good command of English and Putonghua

Applicant will be assigned to different projects subject to relevant working experience

Application Procedure

Online Application

Education Level
Doctoral or professional degree
Department
Biostatistics
Computer Science
Data Science
Architecture and Civil Engineering
Biomedical Engineering
Electrical Engineering
Materials Science and Engineering
Mechanical Engineering
Systems Engineering
Chemistry
Computing Mathematics
Physics
Global Research Enrichment and Technopreneurship
School of Energy and Environment