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Job ID: 233749

Research Fellow (Computer Science/Mechanical Engineering/Aerospace Engineering)
Nanyang Technological University

Date Posted Apr. 2, 2024
Title Research Fellow (Computer Science/Mechanical Engineering/Aerospace Engineering)
University Nanyang Technological University
Singapore, Singapore
Department School of Mechanical and Aerospace Engineering
Application Deadline Open until filled
Position Start Date Available Immediately
  • Research Scientist/Associate
    Faculty Associate
    Professional Staff
  • Computer/Information Sciences

In 2013, the Civil Aviation Authority of Singapore (CAAS) and Nanyang Technological University (NTU) jointly established the Air Traffic Management Research Institute (ATMRI) in Singapore, with the vision to set up a renowned ATM research institute, finding innovative solutions, and catalysing an ATM transformation in the region. ATMRI is currently leading cutting-edge research on ATM, with the vision to facilitate next-generation ATM by developing advanced AI and Data Analytics.


ATMRI is seeking to hire a Research Fellow to conduct research in developing artificial intelligence methods and Deep Learning models to improve the performance, reliability and safety of airport operations in the face of increasing demand and inherent uncertainties (for e.g. weather and delays) in the air traffic management (ATM) system.


Key Responsibilities:

  • Conduct research in artificial intelligence methods and deep learning models.

  • Collect and analyze air traffic data related to the project.

  • Develop optimization algorithm and models for airport-airside optimization.

  • Run simulations and perform visualization and data analysis.

  • Develop prototypes and intelligent tools for computer vision enabled digital towers.

  • Assist Principal Investigator with project management and lead/mentor research team.

  • Communicate and collaborate effectively with industrial and academic partners.

  • Publish in top conferences and journals.


Job Requirements:

  • PhD degree in computer science, mechanical, or aerospace engineering.

  • Strong publication record in top journals (SCI Q1) and peer-reviewed aviation conferences.

  • Strong theoretical background in machine learning, computational intelligence and optimization.

  • Strong programming skills in Python, C++, MATLAB.

  • Good English writing and communication skills.

  • Can work independently and be a team player.

  • Able to multitask between project and research tasks.


We regret that only shortlisted candidates will be notified.

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