Open Ph.D Student Positions
Flight dynamics and control lab (http://fdcl.seas.gwu.edu) at the George Washington University is looking for new doctoral students in 2024.
There are multiple open positions for the following projects.
All of these positions are fully funded, and they start in 2024.
Geometric Reinforcement Learning
This project is to develop geometric deep learning for autonomous aerial systems in decision making and controls. The emphasis is on synergistic human and AI collaboration in complex, dynamic environments.
In particular, backgrounds in the following topics are desired.
- Geometric mechanics and control
- Deep reinforcement learning
- Computer vision
- Autonomous flight experiments (C++, python, and ROS)
This position will be funded by ONR.
Stochastic Hybrid Systems
This project is to construct comprehensive computational techniques for stochastic analysis of hybrid systems evolving on a nonlinear configuration manifold, including uncertainty propagation, Bayesian estimation, and stochastic optimal control schemes.
In particular, backgrounds in the following topics are desired.
- Stochastic dynamics
- Hybrid systems
- Estimation and optimization
- High performance computing
This position will be funded by AFOSR.
Autonomous Flight in Ocean Environments
This project is to develop vision-based perception and control for autonomous flight of UAV in ocean environments. This is the most applied project that involves flight experiments on a USNA research vessel.
Backgrounds in the following topics are desired.
- Visual-inertial navigation
- Embedded system (e.g., PCB design)
- Coding (C++, python, and ROS)
This position will be funded by USNA.
For all positions, it is expected that the candidates have expertise in structured programming.
To apply, email the following documents to tylee@gwu.edu in a single PDF:
- CV (including list of publications)
- Transcript (unofficial version is allowed)
- Summary of prior experience in the relevant topics