Postdoctoral Researcher, Computer Vision and AI / Mechatronics and Control
The Hong Kong Productivity Council (HKPC) is a multi-disciplinary organisation established by statute in 1967, to promote productivity excellence through integrated advanced technologies and innovative service offerings to support Hong Kong enterprises. HKPC is the champion and expert in facilitating Hong Kong's reindustrialisation empowered by i4.0 and e4.0 - focusing on R&D, IoT, big data analytics, AI and Robotic technology development, digital manufacturing, etc., to help enterprises and industries upgrade their business performance, lower operating costs, increase productivity and enhance competitiveness.
The Council is a trusted partner with comprehensive innovative solutions for Hong Kong industries and enterprises, enabling them to achieve resources and productivity utilisation, effectiveness and cost reduction, and enhanced competitiveness in both local and international marketplace. It offers SMEs and startups immediate and timely assistance in coping with the ever-changing business environment, accompanying them on their innovation and transformation journey.
The Council is a trusted partner with comprehensive innovative solutions for Hong Kong industries and enterprises, enabling them to achieve resources and productivity utilisation, effectiveness and cost reduction, and enhanced competitiveness in both local and international marketplace. It offers SMEs and startups immediate and timely assistance in coping with the ever-changing business environment, accompanying them on their innovation and transformation journey.
Highlight
Robotics and Artificial Intelligence Division
Ref: RAD257/23, 8868
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!
Ref: RAD257/23, 8868
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!
Responsibilities
What you'll do:
• Responsible for government-funded R&D projects implementation including but not limited to the field of machine vision, Artificial Intelligence, robotics, Geographic Information System (GIS), Intelligent transportation, etc.
• 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
• Support ad hoc projects and assignments
• Occasional travels to Mainland China or overseas may be required
• Responsible for government-funded R&D projects implementation including but not limited to the field of machine vision, Artificial Intelligence, robotics, Geographic Information System (GIS), Intelligent transportation, etc.
• 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
• Support ad hoc projects and assignments
• Occasional travels to Mainland China or overseas may be required
Requirements
You'll be a good fit if you have/are:
• Doctoral Degree in Engineering and Computer Science disciplines
• Experience in R&D activities of AI, computer vision, machine learning or relevant areas is a must.
• 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, robotics, automation is an advantage
• Knowledge and experience in any ONE of the following expertise will be is a plus:
o Build AI models using platforms, such as cuDNN, TensorRT, C++ programming in Linux, etc.
o Hands-on skills in one of any deep learning platforms, such as Keras, Tensorflow, Caffe, CNTK, PyTorch, etc.
o Internet of Things (IoT) devices and/or Information Communication Technology
o System and Software development (in C/C++, Python or Java, etc.)
o Robotic, ROS, Pointcloud
• Strong analytical mind with problem solving skills and communication skills
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. IoT, 5G, LoRA, AI etc.) to actualize your creative ideas
• Opportunities to work with our innovative and vibrant talents
• Embracing work flexibility (including Flexi-work hour and Flexi-location)
• 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”!
• Doctoral Degree in Engineering and Computer Science disciplines
• Experience in R&D activities of AI, computer vision, machine learning or relevant areas is a must.
• 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, robotics, automation is an advantage
• Knowledge and experience in any ONE of the following expertise will be is a plus:
o Build AI models using platforms, such as cuDNN, TensorRT, C++ programming in Linux, etc.
o Hands-on skills in one of any deep learning platforms, such as Keras, Tensorflow, Caffe, CNTK, PyTorch, etc.
o Internet of Things (IoT) devices and/or Information Communication Technology
o System and Software development (in C/C++, Python or Java, etc.)
o Robotic, ROS, Pointcloud
• Strong analytical mind with problem solving skills and communication skills
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. IoT, 5G, LoRA, AI etc.) to actualize your creative ideas
• Opportunities to work with our innovative and vibrant talents
• Embracing work flexibility (including Flexi-work hour and Flexi-location)
• 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”!
Salary
Negotiable
Benefits
Please Sign in to view relevant information
Employment Type
Qualification
Career Level
Min. Yrs. of Experience
2
Location
Validity
Expired