Project Officer (Fleet Management for AESVs)

A Project Officer position is available in the Centre for System Intelligence and Efficiency, School of Electrical & Electronic Engineering, Nanyang Technological University, Singapore.

Job Description:

• Conduct research and development on state-of-the-art route planning algorithms on vehicles, such as mixed integration programming, genetic algorithm, deep reinforcement learning

• Develop robust algorithms for route optimization of fleet of AESVs in dynamic traffic environments and traffic flow prediction in the road network

• Research on machine learning algorithms for traffic estimation, prediction and route optimization

• Liaise with Engineer from industry collaborators on fleet management subsystem

• Develop and implement codes as well as testing and integration

• Prepare research papers, report and presentation to both NTU and Industry Collaborators

Job Requirements:

• Bachelor’s degree in Electrical Engineering/Computer Science background in control and machine learning

• Good understanding of intelligent transportation system and route planning system

• Good knowledge of math, probability, statistics and algorithms

• Excellent programming skills in C++/C/Python/MATLAB

• Excellent written and verbal communication skills

We regret that only shortlisted candidates will be notified.

Hiring Institution: NTU

In line with Singapore’s nationwide Vaccination-Differentiated Safe Management Measures (VDS), employees must be fully vaccinated to return to the workplace, unless certified to be medically ineligible. For Information on VDS, please click here .

A Project Officer position is available in the Centre for System Intelligence and Efficiency, School of Electrical & Electronic Engineering, Nanyang Technological University, Singapore.

Job Description:

• Conduct research and development on state-of-the-art route planning algorithms on vehicles, such as mixed integration programming, genetic algorithm, deep reinforcement learning

• Develop robust algorithms for route optimization of fleet of AESVs in dynamic traffic environments and traffic flow prediction in the road network

• Research on machine learning algorithms for traffic estimation, prediction and route optimization

• Liaise with Engineer from industry collaborators on fleet management subsystem

• Develop and implement codes as well as testing and integration

• Prepare research papers, report and presentation to both NTU and Industry Collaborators

Job Requirements:

• Bachelor’s degree in Electrical Engineering/Computer Science background in control and machine learning

• Good understanding of intelligent transportation system and route planning system

• Good knowledge of math, probability, statistics and algorithms

• Excellent programming skills in C++/C/Python/MATLAB

• Excellent written and verbal communication skills

We regret that only shortlisted candidates will be notified.

Hiring Institution: NTU

In line with Singapore’s nationwide Vaccination-Differentiated Safe Management Measures (VDS), employees must be fully vaccinated to return to the workplace, unless certified to be medically ineligible. For Information on VDS, please click here .