Total 5 Others/Any transportation job vacancies in Education / Training category in Singapore

Under the Air Traffic Management Research Institute (ATMRI) (http://atmri.ntu.edu.sg/), Nanyang Technological University, you will be part of a research team to study the use of Artificial Intelligence and Data Analytics in Air Traffic Management Systems. The selected candidate will work on developing innovative machine learning models to address key challenges in the future airspace system, including traffic prediction, optimization, and safety enhancements.

Key Responsibilities:

• Develop and implement machine learning models for air traffic prediction, flow management, and conflict detection.
• Apply deep learning, reinforcement learning, and other advanced AI techniques to improve decision-making in ATM systems.
• Work with real-time and historical air traffic data (e.g., ADS-B) to build predictive models for air traffic demand and capacity.
• Collaborate with a team of researchers and engineers to integrate machine learning models into ATM decision support systems.
• Analyze the performance of machine learning models and optimize their scalability for real-world airspace management applications.
• Participate in project meetings, prepare research reports, and contribute to publications in top-tier academic conferences and journals.
• Assist in the preparation of project proposals and technical documentation.

Job Requirements:

• Master's degree in Transportation or Aerospace Engineering.
• ATM background, previously participated in basic ATM training.
• Evidence of developing Machine Learning and Optimization models for ATM system.
• Strong programming skills in Python.
• Good writing and communication skills.
• Independent and team player.

We regret that only shortlisted candidates will be notified.

Interested applicants are invited to apply directly at the NUS Career Portal.

Your application will be processed only if you apply via NUS Career Portal.

We regret that only shortlisted candidates will be notified.

Job Description

We have an opening for a Research Fellow (Transportation) in areas related to traffic operations, traffic control, simulation, and connected and automated vehicles (CAVs). Specifically, we expect the selected candidate to lead and pursue high-quality research on intelligent transportation systems, including but not limited to (1) traffic flow theory, (2) traffic control in urban and highway contexts, (3) vehicle dynamics and control, (4) optimization of transportation infrastructure, and (5) data privacy and security. In addition to research, the selected candidate is expected to help draft research proposals and supervise graduate and undergraduate students.

Qualifications

• Possess a PhD in Civil Engineering, Mechanical Engineering, Electrical Engineering, or other closely related fields.
• Research experience in Intelligent Transportation Systems with excellent publication record.
• Good programming and analytical skills.
• Expertise in control theory, optimization, game theory, and machine learning is highly preferable.
• Good technical proposal writing and presentation skills.
• Able to plan and organize well and adhere to the deadline.
• Able to perform research in a multidisciplinary team,
• Open to fixed-term contract

The School of Civil and Environmental Engineering (CEE) is looking for a candidate to join them as a Research Associate.

The research associate will work on a project to conduct the research on development of public trust and acceptance in future intelligent vehicles.

Key Responsibilities:

• Assist in experiment and questionnaire design
• Develop multinomial logit models for intelligent vehicles
• Conduct data analysis of public trust and acceptance in intelligent vehicles
• Formulate strategies to promote human-machine cooperation
• Responsible for manuscript preparation

Job Requirements:

• Master’s Degree in Transportation Management, Supply Chain & Logistics Management, Economics, Data Science or related field
• Expertise in survey design
• Proficient in statistical modelling and econometrics
• Research on the human-machine interaction of intelligent vehicles
• Prepare and publish research papers on top journals
• Knowledge in the transport industry is an advantage
• Good publication track record is an advantage
• Proficiency in English is an advantage for data analysis

We regret to inform that only shortlisted candidates will be notified.

[What you will be working on]

In addition to your teaching duties, you will carry out industry or consultancy projects to help you remain relevant in your profession and to evolving changes in industry, and maintain strong linkages with industry and schools. You will also have the opportunity to have industry attachments or experience on a regular basis to update your skills, knowledge and practices of your profession.

[What we are looking for]

- Trained in Lift, Mechanical, Electrical or relevant Engineering background with at least 3-5 years relevant experience and a proven track record relating to lift, escalator and moving walks;

- Good knowledge and technical competency in electrical and electronics control relating to lift, escalator and moving walks;

- A practicing Lift/Escalator/Moving Walks Engineer with operation experience would be preferred;

- Good knowledge and technical competencies in Smart Facility Management (including IoT, IoE and Data Analytics for lift management) would have added advantage.

Those with good and relevant experience can look forward to Senior Lecturer or equivalent positions, with career development opportunities to leadership positions in the Colleges or Headquarters.

Applicants may check their application status at the end of 8 weeks from the closing date of this job posting.

Interested applicants are invited to apply directly at the NUS Career Portal.

Your application will be processed only if you apply via NUS Career Portal.

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore (NUS) Department of Civil and Environmental Engineering invites application for one (1) Research Fellow position in the area of intelligent transportation systems with emphasis on system development, deployment, integration, and delivery.

The candidate is expected to work on

(1) research projects related to smart lamp post development, deployment, integration, and delivery for related applications under the Cisco-NUS Accelerated Digital Economy Corporate Laboratory.

(2) Work with contractors and agencies for systems hardware and software development and field deployment and must be willing to go on field and discuss on progress with contractors appointed to work on the trials. In addition, the candidate should also possess good communication and team working skills and can present research findings in publications and professional meetings (including with agencies and the industry).

Job Requirements

• Possess a Ph.D. degree in a related discipline (transportation engineering, operations research, computer engineering/science, or related disciplines)
• strong interests and expertise in traffic simulation, statistical modeling, mathematical programming, reinforcement learning, and optimization
• Strong written and oral communication skills.
• Has relevant expertise and work experience in traffic simulation software and programming with at least one language, e.g., Python, Java, or C++.
• Open to fixed term contract.