Research Engineer I (Aerospace Engineering / Electrical Engineering / Computer Science)

Nanyang Technological University; Singapore; On-site; SGD 67,000 - 100,000; Full time

Job summary

NTU Singapore invites applications for a research role in the Air Traffic Management Research Institute (ATMRI). The candidate will develop ML models for traffic prediction, flow management, and safety enhancements in future airspace systems.

Collaboration with researchers and engineers will integrate models into decision-support systems. Required are a BEng in AE/EE/CS, 2 years ML/Data Science experience, strong Python skills, and good communication.

Qualifications

• Bachelor of Engineering in AE/EE/CS from a recognized program.
• Demonstrated ML and optimization model development for air traffic problems.
• Two years of working experience in ML and Data Science.
• Strong programming skills in Python and ML.
• Good writing and communication skills.
• Independent and team player.

Responsibilities

• Develop and implement ML models for air traffic prediction, flow management, and conflict detection.
• Apply deep learning, reinforcement learning, and other AI techniques to ATM decision making.
• Work with real-time and historical air traffic data to build predictive models.
• Collaborate with researchers and engineers to integrate models into ATM decision support systems.
• Analyze model performance and optimize scalability for real-world airspace management.
• Participate in meetings, prepare reports, and contribute to publications in conferences and journals.
• Assist in preparing project proposals and technical documentation.

Skills

Python

ML

Data Science

Team player

Education

Aerospace Engineering

Electrical Engineering

Computer Science

Job description

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:

• Bachelor of Engineering degree in Aerospace Engineering//Electrical Engineering Computer Sc.
• Demonstrated evidence of developing Machine Learning and Optimization models for Air Traffic problems.
• Two years of working experience in Machine Learning and Data Science.
• Strong programming skills in Python and Machine Learning.
• Good writing and communication skills.
• Independent and team player.

We regret to inform you that only shortlisted candidates will be notified. Hiring Institution: NTU A research-intensive public university, Nanyang Technological University, Singapore (NTU Singapore) has 33,000 undergraduate and postgraduate students in the Engineering, Business, Science, Humanities, Arts, & Social Sciences, and Graduate colleges. It also has a medical school, the Lee Kong Chian School of Medicine, established jointly with Imperial College London. NTU is also home to world-class autonomous institutes – the National Institute of Education, S Rajaratnam School of International Studies, Earth Observatory of Singapore, and Singapore Centre for Environmental Life Sciences Engineering – and various leading research centres such as the Nanyang Environment & Water Research Institute (NEWRI) and Energy Research Institute @ NTU (ERI@N). Ranked amongst the world’s top universities by QS, NTU has also been named the world’s top young university for the past seven years. The University’s main campus is frequently listed among the Top 15 most beautiful university campuses in the world and has 57 Green Mark-certified (equivalent to LEED-certified) buildings, of which 95% are certified Green Mark Platinum. Apart from its main campus, NTU also has a campus in Novena, Singapore’s healthcare district. Under the NTU Smart Campus vision, the University harnesses the power of digital technology and tech-enabled solutions to support better learning and living experiences, the discovery of new knowledge, and the sustainability of resources. For more information, visit www.ntu.edu.sg About NIE About RSIS About LKCMedicine About NTUItive