Job Description

Research Assistant

Job Title:

10515

Job ID:

Department:

Department of Civil and Environmental Engineering

Job Posting Details

Prof. Hong K. LO is leading a research project titled “Improving Fleet & Driver Shift Operating Efficiency via a Next Generation Taxi Operating System”, funded by Smart Traffic Fund.  The project aims to develop a taxi operating system for enhancing overall taxi operational efficiency by utilizing newly developed taxi meters to collect real-time vehicle information and trip data.  The project team will develop an AI-assisted Insights Map to provide taxi drivers with information on potentially profitable trip locations.  We are currently seeking motivated individuals to join our team as Research Assistant.

Key Responsibilities: 

• Proactively identify, acquire, and assess relevant datasets for project needs, performing data fusion processes and conducting in-depth statistical analyses to uncover patterns and insights.
• Manage and maintain the large-scale taxi trajectories and relevant databases, ensuring data quality and accessibility for the research team.
• Oversee the management of GPU/CPU server clusters for AI model training.
• Develop and train machine learning models for real-time taxi drivers’ profitability prediction. 
• Support and perform other relevant duties as required.

Qualifications:

• A bachelor’s degree or above in Transportation Engineering, Computer Science, Information Technology or related fields.
• Proficiency in the configuration of GPU/CPU clusters and management of high-speed storage dedicated to the clusters. 
• Experience in large-scale Machine Learning model development; R&D experience in the industry is a plus. 
• Strong knowledge of Python frameworks and databases (SQL); familiarity with additional programming languages such as C++ and Java is advantageous.
• Strong analytical and problem-solving skills, with a self-motivated and organized approach to teamwork.
• Immediate availability is preferred.

(Duration: 1 year)

If you are passionate about improving operational efficiency of the taxi industry through technology and data analysis, we encourage you to apply and join our dedicated research team.

Starting salary will be commensurate with qualifications and experience.  Fringe benefits including annual leave, medical and dental benefits will be provided.

Review of applications will continue until the position is filled. 

(Information provided by applicants will be used for recruitment and other employment-related purposes.  Applicants should read the Personal Information Collection Statement before submission of application.)

HKUST is an equal opportunities employer and is committed to our core values of 

inclusiveness, diversity, and respect.

Job Description

Research Assistant

Job Title:

10515

Job ID:

Department:

Department of Civil and Environmental Engineering

Job Posting Details

Prof. Hong K. LO is leading a research project titled “Improving Fleet & Driver Shift Operating Efficiency via a Next Generation Taxi Operating System”, funded by Smart Traffic Fund.  The project aims to develop a taxi operating system for enhancing overall taxi operational efficiency by utilizing newly developed taxi meters to collect real-time vehicle information and trip data.  The project team will develop an AI-assisted Insights Map to provide taxi drivers with information on potentially profitable trip locations.  We are currently seeking motivated individuals to join our team as Research Assistant.

Key Responsibilities: 

• Proactively identify, acquire, and assess relevant datasets for project needs, performing data fusion processes and conducting in-depth statistical analyses to uncover patterns and insights.
• Manage and maintain the large-scale taxi trajectories and relevant databases, ensuring data quality and accessibility for the research team.
• Oversee the management of GPU/CPU server clusters for AI model training.
• Develop and train machine learning models for real-time taxi drivers’ profitability prediction. 
• Support and perform other relevant duties as required.

Qualifications:

• A bachelor’s degree or above in Transportation Engineering, Computer Science, Information Technology or related fields.
• Proficiency in the configuration of GPU/CPU clusters and management of high-speed storage dedicated to the clusters. 
• Experience in large-scale Machine Learning model development; R&D experience in the industry is a plus. 
• Strong knowledge of Python frameworks and databases (SQL); familiarity with additional programming languages such as C++ and Java is advantageous.
• Strong analytical and problem-solving skills, with a self-motivated and organized approach to teamwork.
• Immediate availability is preferred.

(Duration: 1 year)

If you are passionate about improving operational efficiency of the taxi industry through technology and data analysis, we encourage you to apply and join our dedicated research team.

Starting salary will be commensurate with qualifications and experience.  Fringe benefits including annual leave, medical and dental benefits will be provided.

Review of applications will continue until the position is filled. 

(Information provided by applicants will be used for recruitment and other employment-related purposes.  Applicants should read the Personal Information Collection Statement before submission of application.)

HKUST is an equal opportunities employer and is committed to our core values of 

inclusiveness, diversity, and respect.