Project Description:
This project aims to provide autonomous bus and passenger services that are compatible with different traffic systems, capable of handling different traffic system information and various geographical differences between the Mainland and Hong Kong.

The autonomous bus is proposed under trial at Lok Ma Chau Loop to advance the development of future cross-border autonomous driving and vehicle-to-everything (V2X) technology.

For further details, please refer to PSRI/104/2412/RA - Connected Autonomous Bus with Multi-system Compatibility – Smart Traffic Fund.

Job Responsibilities:

• Conduct R&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.

• Define requirements, specifications, and innovative designs for smart mobility technology.

• Perform on-site deployment, integration, and testing of the Smart Mobility technology based on the varying requirements of different customers and partners.

• Design and implement new patents in smart mobility-related areas.

• Research and build up know-how and hands-on experience in one or more of the following areas, but not limited to:

  1. AI & Perception

     1. 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.

     2. Data-driven microscopic modelling of transportation system.

     3. Behavior modelling and cognitive AI in transportation systems.

     4. Develop predictive analytics models to forecast traffic trends and recommend real-time traffic adjustments.
        

  2. Simulation

     1. Design and implement autonomous simulation software that model and simulate traffic elements, traffic patterns, transportation systems, infrastructure and various scenarios.

     2. Design and implement data mining algorithms and statistical models to extract insights from large datasets from transportation system.

     3. Analyze simulation results to identify potential traffic safety and efficiency issues and propose solutions for improvement.

     4. Conduct performance testing and optimization of simulation models.

        
        

  3. Backend & Frontend

     1. Design, develop, and maintain server-side logic, ensuring high performance and responsiveness.

     2. Design and implement distributed system architectures for large-scale applications.

     3. Develop and maintain microservices architecture for modular and scalable applications.

     4. Design and maintain relational and NoSQL databases, optimize queries and database performance for scalability and efficiency.

     5. Design, develop, and maintain GIS-based applications and tools for spatial data management, analysis a d visualization.

     6. Design intuitive Human-Machine Interaction (HMI) interfaces for autonomous vehicles and smart transportation systems.

Job Requirements:

• Bachelor’s degree or higher in Computer Science, Electronic Engineering, Telecommunications or relevant discipline with a minimum 3 years of related experience.

• Candidates with less experience may also be considered.

• 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.

• 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.

• For applying the simulation-related opening(s), candidates are expected to be familiar with simulation tools such as SUMO, CARLA, NS-3.

• 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.

• 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.

• 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.

• Good command of both written/spoken English and Chinese (including Putonghua).

• Proficiency in using Microsoft Office is a basic requirement.

• Characteristics such as good teamwork, communication, and a strong work ethic will be a plus.

• Live ASTRI values.

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 the 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.

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