ASTRI - Hong Kong Applied Science and Technology Research Institute

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&amp;D competence in various areas is grouped under five Technology Divisions: Advanced Electronic Components and Systems; Artificial Intelligence and Trust Technologies; Communications Technologies; IoT Sensing and AI Technologies; and Intelligent Perception and Control Technologies.
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&amp;T talents and received numerous international awards for its pioneering innovations as well as outstanding business and community contributions.
As of 2023/24, ASTRI has transferred more than 1,500 technologies to the industry and has been granted over 1,100 patents in the Mainland, the US, and other countries.
Job Responsibilities
To support our constant endeavour to position Hong Kong as a world-class smart city and an international hub of innovation and technology, we are seeking qualified professionals to fill the following position(s):
<ul>
<li>Conduct R&amp;D in cutting-edge smart mobility-related areas, including Vehicle-to-Everything (V2X), autonomous driving, intelligent transportation systems and the Low-Altitude Economy (LAE), with the objective to deploy commercial trials and rollouts in the market in partnership with industry leaders in these areas
</li>
<li>Define requirements, specifications, and innovative designs for smart mobility technology
</li>
<li>Perform on-site deployment, integration, and testing of the Smart Mobility technology based on the varying requirements of different customers and partners
</li>
<li>Design and implement new patents in smart mobility-related areas
</li>
<li>Research and build up know-how and hands-on experience in one or more of the following areas, but not limited to:
</li>
<li>AI &amp; Perception
</li>
<li>Intelligent perception of traffic events, including multi-modal sensor fusion, object tracking, and event detection, by combining data from LiDAR, cameras, radar, and other sensors
</li>
<li>Data-driven microscopic modelling of transportation system
</li>
<li>Behavior modelling and cognitive AI in transportation systems
</li>
<li>Develop predictive analytics models to forecast traffic trends and recommend real-time traffic adjustments
</li>
<li>Simulation
</li>
<li>Design and implement autonomous simulation software that model and simulate traffic elements, traffic patterns, transportation systems, infrastructure and various scenarios
</li>
<li>Design and implement data mining algorithms and statistical models to extract insights from large datasets from transportation system
</li>
<li>Analyze simulation results to identify potential traffic safety and efficiency issues and propose solutions for improvement
</li>
<li>Conduct performance testing and optimization of simulation models
</li>
<li>Backend &amp; Frontend
</li>
<li>Design, develop, and maintain server-side logic, ensuring high performance and responsiveness
</li>
<li>Design and implement distributed system architectures for large-scale applications
</li>
<li>Develop and maintain microservices architecture for modular and scalable applications
</li>
<li>Design and maintain relational and NoSQL databases, optimize queries and database performance for scalability and efficiency
</li>
<li>Design, develop, and maintain GIS-based applications and tools for spatial data management, analysis and visualization
</li>
<li>Design intuitive Human-Machine Interaction (HMI) interfaces for autonomous vehicles and smart transportation systems
</li>
</ul>
Job Requirements
<ul>
<li>Bachelor’s degree or higher in Computer Science, Electronic Engineering, Telecommunications or relevant discipline with a minimum 3 years of related experience</li>
<li>Candidates with less experience may also be considered</li>
<li>For applying the AI-related opening(s), 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</li>
<li>For applying the perception-related opening(s), candidates are expected to be proficient in sensor fusion algorithms for object detection and tracking, as well as in sensor data processing and deep learning frameworks for perception tasks</li>
<li>For applying the simulation-related opening(s), candidates are expected to be familiar with simulation tools such as SUMO, CARLA, NS-3</li>
<li>Candidates with 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) will be prioritized</li>
<li>Candidates with solid experience in modern frontend frameworks and libraries such as React and Vue.js, along with knowledge of responsive design principles and intuitive Human-Machine Interfaces (HMI) will be prioritized</li>
<li>Proficiency in GIS software such as ArcGIS, Mapbox, or OpenLayers, as well as databases including PostGIS (PostgreSQL), and MongoDB, with the ability to manage and process large-scale geospatial datasets, will be prioritized</li>
<li>Good command of both written/spoken English and Chinese (including Putonghua)</li>
<li>Proficiency in using Microsoft Office is a basic requirement</li>
<li>Characteristics such as good teamwork, communication, and a strong work ethic will be a plus</li>
<li>Live ASTRI values</li>
</ul>
Application
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 number or travel document number 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.

Smart Mobility - Principal Engineer/Associate Principal Engineer/Senior Lead Engineer/Lead Engineer

Smart Mobility - Principal Engineer/Associate Principal Engineer/Senior Lead Engineer/Lead Engineer

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