Post-Doctoral Researcher in AI, Autonomy and Digital Platforms for Drones

About the role

This post-doctoral research position focuses on intelligent and autonomous drone systems, combining AI, edge computing and digital twin technologies for mission autonomy and predictive analytics. The researcher develops real-time flight control algorithms, AI-based data processing and mission management platforms, contributing to the deployment of smart UAV demonstrators under industrial conditions.

Key responsibilities

• Support the development of AI and machine learning algorithms for autonomous navigation
• Assist in building digital twin models to monitor drone health and mission performance
• Contribute to IoT integration and real-time data acquisition systems
• Participate in testing and deployment of UAV demonstrators at UM6P and OCP sites
• Take part in field trials for performance and reliability testing
• Contribute to academic or industrial publications and reports

Required profile

• Engineering degree or equivalent in Computer Science, Robotics or Electrical Engineering
• Solid knowledge of AI/ML, embedded systems and IoT architecture
• Strong interest in applied AI and autonomous systems development

Required skills

• Programming in Python, ROS, TensorFlow or MATLAB
• Reinforcement learning, computer vision and sensor fusion
• Digital twin and edge computing implementation

Applications require a CV, a cover letter and one recommendation letter.