Funded PhD Positions in Model-Free Control, UAVs, Reinforcement Learning, and Nonlinear Control (Canada) University of Ottawa in United States

Several funded PhD positions are available in the field of model-free control of unmanned aerial vehicles (UAVs) at the University of Ottawa and Carleton University, Canada. The positions are part of a collaborative research project focused on developing robust reinforcement learning (RL)-based controllers for autonomous UAVs, with an emphasis on online learning, formal Lyapunov-based robustness and stability guarantees, computational efficiency, and real-time performance. The research will provide opportunities for both analytical and hands-on work, publication in top journals, conference presentations, and mentoring junior researchers.

Applicants should have a strong background in Lyapunov stability and nonlinear control theory, especially in optimal and adaptive control, as well as expertise in reinforcement learning and machine learning. Required skills include strong programming abilities in C/C++ or Python and Pytorch or TensorFlow, and familiarity with ROS/Gazebo. Excellent scientific writing skills in English and the ability to work collaboratively are essential. Experience with ArduPilot and UAV hardware is desirable but not mandatory.

Successful candidates will join a dynamic team under the supervision of Prof. Wail Gueaieb (University of Ottawa) and/or Prof. Mohammad Biglarbegian (Carleton University). The Electrical and Computer Engineering program at the University of Ottawa and the Department of Mechanical and Aerospace Engineering at Carleton University are both involved in this project, offering a multidisciplinary environment at the intersection of electrical engineering, mechanical engineering, aerospace engineering, and robotics.

The positions are fully funded, though specific stipend and tuition details are not provided. The target start date is September 1st, 2026, but early application is strongly encouraged due to administrative processing times, especially for international students. Applications will be reviewed on a rolling basis until all positions are filled.

To apply, candidates should email a single PDF containing their CV (with publications and references), transcripts, and a cover letter detailing their fit for the project, particularly their expertise in Lyapunov-based stability analysis of data-driven control of nonlinear systems, to Prof. Wail Gueaieb at [email protected]. The subject line must follow the specified format. Only applications submitted according to these instructions will be considered.