Nanyang Technological University | Research Engineer II
17 hours ago
Research Engineer II (Artificial Intelligence)
Apply locations: NTU Main Campus, Singapore
Time type: Full time
Posted on: Posted 3 Days Ago
Job requisition id: R00019348
Under the Air Traffic Management Research Institute (ATMRI) ( 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 Artificial Intelligence.
Evidence of developing Machine Learning and Optimization models for ATM system.
Strong programming skills in Python.
Good English writing and communication skills - for research purposes.
Independent and team player.
We regret that only shortlisted candidates will be notified.
Hiring Institution: NTU
About Us
NTU is also home to world-class autonomous institutes and various leading research centres. 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 buildings. 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.
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