Job Description

School of Mechanical & Aerospace Engineering (MAE) welcomes applications for a Research Fellow position on Flight dynamics digital twin modeling at the School of Mechanical and Aerospace Engineering at Nanyang Technological University, Singapore.

The selected candidate will join a vibrant and dynamic research group, equipped with state-of-the-art facilities to work on the following.

Key Responsibilities:

Design experiments on eVTOL structures to determine their aerodynamic models.

Develop physics-driven learning-based models to identify the eVTOL dynamics.

Develop scalable neural network models to identify eVTOL dynamics under faults, external disturbances and sensor failures.

Real-time validation of the eVTOL digital twin under various circumstances.

Presentation of research progress, reports, and latest findings at regular intervals.

Publishing research findings for high-impact research articles.

Job Requirements:

Ph.D. in the field of Aerospace/ Mechanical Engineering with a major emphasis in the domain of fixed-wing flight dynamics.

Sound knowledge of flight dynamics modeling (stability and handling qualities analyses), aerodynamics, machine learning, data analysis, and neural networks.

Sound coding skills in C/C++, MATLAB, Python.

Proficient in using machine learning libraries such as TensorFlow and Keras.

Good English writing and communication skills (required).

We regret that only shortlisted candidates will be notified.

Hiring Institution: NTU

Nanyang Technological University