Research Assistant in AI, Autonomy & Digital Platforms for Drones - Benguerir
Company sector : Education / Training
COMPANY :
Mohammed VI Polytechnic University is an institution dedicated to research and innovation in Africa and aims to position itself among world-renowned universities in its fields The University is engaged in economic and human development and puts research and innovation at the forefront of African development. A mechanism that enables it to consolidate Moroccos frontline position in these fields, in a unique partnership-based approach and boosting skills training relevant for the future of Africa. Located in the municipality of Benguerir, in the very heart of the Green City, Mohammed VI Polytechnic University aspires to leave its mark nationally, continentally, and globally.
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Company culture :
UM6P – Mohammed VI Polytechnic University operates within a strongly innovation-driven culture, where creativity, experimentation and intellectual boldness are key foundations. The university promotes initiative, openness and autonomy in a stimulating environment focused on research, entrepreneurship and impact. This innovative mindset is reinforced by a solid cooperative dimension, fostering collaboration, knowledge sharing and human development. A clear focus on performance and excellence further supports this culture, while formal processes remain lighter to maintain agility and flexibility.
Job :
Thesis Subject Description:
Abstract:
This position focuses on the development of intelligent and autonomous drone systems, integrating AI, edge computing, and digital twin technologies for mission autonomy and predictive analytics. The research assistant will develop real-time flight control algorithms, AI-based data processing, and mission management platforms, contributing to the deployment of smart UAV demonstrators under industrial conditions.
Keywords: Artificial intelligence, autonomy, digital twin, edge computing, UAV systems.
Objectives:
- 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.
Methodology:
- AI Development: Reinforcement learning, computer vision, and sensor fusion for autonomy.
- Digital Twin & Edge Computing: Implement real-time synchronization and analytics.
- IoT Integration: Design and manage data acquisition from sensors and UAVs via embedded systems.
- Validation: Participate in field trials for performance and reliability testing.
Expected Outcomes:
- Contribution to AI-enabled UAV demonstrator (TRL 6).
- Support in the deployment of a digital mission platform.
- Participation in academic or industrial publications and reports.
Required profile :
Profile of the Research Assistant Candidate & Application Materials:
- Engineering degree or equivalent in Computer Science, Robotics, or Electrical Engineering.
- Solid knowledge of AI/ML, embedded systems, and IoT architecture.
- Programming skills in Python, ROS, TensorFlow, or MATLAB.
- Strong interest in applied AI and autonomous systems development.
Application materials:
CV, cover letter, and one recommendation letter.
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