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Senior Engineer / Engineer, Smart Mobility

Ref. ID:  CTO/CT/SMT/886
Location: 

HK

 

The Hong Kong Applied Science and Technology Research Institute (ASTRI) was founded by the Government of the Hong Kong Special Administrative Region in 2000 with the mission of enhancing Hong Kong’s competitiveness through applied research. ASTRI’s core R&D competence in various areas is grouped under five Technology Divisions: Communications Technologies, Artificial Intelligence and Trust Technologies, Advanced Electronic Components and Systems, IoT Sensing and AI Technologies, and Innovative Mind.

 

It is applied across six core areas which are Smart City, Financial Technologies, New Industrialisation and Intelligent Manufacturing, Digital Health, Application Specific Integrated Circuits, and Metaverse.

 

Over the years, ASTRI has nurtured a pool of research, I&T talents and received numerous international awards for its pioneering innovations as well as outstanding business and community contributions.

 

To date, ASTRI has transferred almost 1400 technologies to the industries and been granted more than 1000 patents in the Mainland, the US, and other countries.


Job Responsibilities:

 

  • Conduct R&D in Vehicle-to-Everything (V2X) related areas, define requirements, specifications, and innovative design to contribute to ASTRI’s V2X software system.
  • Perform R&D on next generation V2X systems with in-vehicle interaction system, virtualised, cloud-based vehicle device and data management platform.
  • Perform R&D on latest Vehicle-to-Everything (V2X) software system, with objective to deploy commercial trials and rollouts in the market in partnership with industry leaders in this area.
  • Research and build up know-how and hands-on experience in one of the following 4 areas:
    1. AI
      • V2X intelligent perception (including multi-modal sensor fusion, object tracking, event detection, etc.).
      • Data-driven V2X / traffic simulation.
      • Behavior modelling and cognitive AI in V2X systems.
      • Design and implementation of new patents in V2X related area.
    2. Frontend
      • Design and implement user-friendly web pages and mobile applications, ensure high quality graphic standards.
      • Developing features to enhance the user experience.
      • Striking a balance between functional and aesthetic design.
      • Optimize applications for maximum speed and scalability
      • Collaborate with back-end developers to improve usability
      • Get feedback from, and build solutions for, users and customers
    3. Backend
      • Design and develop backend components of V2X applications and services, ensuring high performance, scalability, and reliability.
      • Work with spatio-temporal databases, including designing and maintaining database schemas, optimizing queries, and ensuring data integrity.
      • Develop and maintain APIs for accessing and manipulating spatio-temporal data.
      • Design strong APIs that support mobile and desktop clients.
      • Collaborate with the front-end developers and other team members to set objectives and design robust, functional codes.
      • Ensure compliance with latest V2X standards and best practices for V2X data management, processing, and analysis
    4. Simulation
      • Designing and implementing V2X simulation software that model and simulate traffic elements, traffic patterns, transportation systems, infrastructure and different V2X scenarios.
      • Designing and implementing data mining algorithms and statistical models to extract insights from large datasets from V2X system.
      • Analyze simulation results to identify potential traffic safety and efficiency issues and propose solutions for improvement.
      • Conduct performance testing and optimization of simulation models

Job Requirements:

 

  • PhD’s holder or Master’s degree in Computer Science, Electronic Engineering, Telecommunications or relevant discipline with minimum 3 years of related experience. Candidates with less experience may also be considered
  • For applying the AI-related opening, candidates are expected to have sound knowledge and understanding in principles of machine-leaning, including neural networks, optimization methods, and statistical methods, as well as experience in at least one of the following programming languages: C++/C/Java/Python.
  • For applying the Frontend-related opening, candidates are expected to have experience with modern frontend frameworks and libraries such as React and Vue.js, and knowledge of responsive design principles and cross-browser & cross platform compatibility issues.
  • For applying the Backend-related opening, candidates are expected to have solid experience in Java and its ecosystem (including frameworks like Spring Boot, OSGi, Hibernate, and Java EE), web services and APIs (such as REST, gRPC, WebSockets, MQTT).
  • For applying the Simulation-related opening, candidates are expected to be familiar with simulation tools such as SUMO, CARLA, NS-3.
  • Good command of both written/spoken English and Chinese (including Putonghua)
  • Live ASTRI values

 

The appointment will be on renewable contract terms with a competitive salary and performance-linked variable pay. Fringe benefits include paid leave, medical, insurance coverage and contribution to MPF. The incumbent will normally work a five-day week.

 

For interested parties, please submit your application with detailed CV within two weeks of the post date. Applicants are encouraged to submit their applications as soon as possible. The review of applications will continue until post is filled.

 

The resume should not include any sensitive personal information such as ID card no. or passport number, photo, etc.

 

Position offer is subject to the applicant’s experience and academic qualification. Only short-listed candidates will be notified. ASTRI reserves the right not to fill the position.

 

ASTRI is an Equal Opportunities Employer. Personal data provided by job applicants will be used exclusively for recruitment only. For details, please refer to ASTRI Privacy Policy Statement.

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