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Research Engineer I (Autonomous Flight Controls)

A research-intensive public university with 33,000 students, offering programs in Engineering, Business, Science, Humanities, Arts, & Social Sciences, and Graduate colleges.
Backend
Entry-Level Software Engineer
In-Person
5,000+ Employees
AI · Robotics

Job Description

Join the School of Mechanical & Aerospace Engineering (MAE) at Nanyang Technological University, Singapore as a Research Engineer focusing on Autonomous Flight Controls at the eVTOL Research and Innovation Centre. This role combines cutting-edge research in autonomous systems with practical implementation of control algorithms for electric vertical takeoff and landing (eVTOL) platforms.

The position offers an exciting opportunity to work with state-of-the-art facilities and contribute to advancing autonomous flight technology. You'll be developing control frameworks, implementing real-time control strategies, and working on path planning for eVTOL systems. The role requires expertise in control theory, machine learning, and programming, making it perfect for someone passionate about the intersection of robotics, AI, and aerospace engineering.

NTU Singapore is a world-class institution, consistently ranked among the top universities globally, with a strong focus on research and innovation. The university's Smart Campus vision and extensive research facilities provide an ideal environment for technological advancement and professional growth. Working here means being part of a vibrant research community while contributing to the future of autonomous flight technology.

The role offers hands-on experience with advanced control systems and autonomous technologies, making it an excellent opportunity for someone looking to build a career in robotics and autonomous systems. You'll be working in Singapore, a global hub for technology and innovation, with access to cutting-edge research facilities and a collaborative research environment.

Last updated 3 months ago

Responsibilities For Research Engineer I (Autonomous Flight Controls)

  • Autonomous control framework development for an eVTOL platform
  • Integrate control algorithms into different hardware architectures
  • Real-time implementation of control and path planning strategies on an eVTOL system
  • Present research progress, reports, and latest findings at regular intervals

Requirements For Research Engineer I (Autonomous Flight Controls)

Python
Linux
  • Bachelor's Degree in Electrical/Mechanical/Aerospace Engineering with emphasis in Control, Automation, and/or Robotics
  • Knowledge of Nonlinear Systems and Control theory, Machine Learning, and Neural Networks, and Model Predictive Control
  • Coding skills in C/C++, MATLAB, Python
  • Knowledge in using Simulink
  • Experience in implementing control strategies of real-time multi-rotors
  • Good English writing and communication skills

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