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Mohammed VI Polytechnic University

Post-doctoral Position: AI, Autonomy & Digital Platforms for Drones Mohammed VI Polytechnic University in Morocco

Degree Level

Postdoc

Field of study

Computer Science

Funding

Full funding available
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Country

Morocco

University

Mohammed VI Polytechnic University

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Keywords

Computer Science
Electrical Engineering
Information Technology
Artificial Intelligence
Computer Vision
Edge Computing
Reinforcement Learning
Digital Twin Technology
Autonomy
Sensor Fusion
Robotics
Embedded System
Machine learning

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About this position

This post-doctoral position at Mohammed VI Polytechnic University is focused on AI, autonomy, and digital platforms for drones. The project centers on the development of intelligent and autonomous UAV systems that combine artificial intelligence, edge computing, and digital twin technologies to support mission autonomy, predictive analytics, and smart drone demonstrators.

The researcher will work on real-time flight control algorithms, AI-based data processing, mission management platforms, and related systems for UAV deployment under industrial conditions. Key technical areas include reinforcement learning, computer vision, sensor fusion, digital twin modeling, edge analytics, and IoT integration for real-time data acquisition from embedded systems and drones.

The position also involves validation and field testing, including participation in UAV demonstrator deployment at UM6P and OCP sites. Expected outcomes include contributions to an AI-enabled UAV demonstrator at TRL 6, development support for a digital mission platform, and participation in academic or industrial publications and reports.

This is a 12-month postdoctoral appointment with an immediate start date. The opportunity is suitable for candidates with an engineering degree or equivalent background in Computer Science, Robotics, or Electrical Engineering, and with experience or strong interest in AI/ML, embedded systems, IoT architecture, and autonomous systems. Desired programming tools and environments include Python, ROS, TensorFlow, and MATLAB.

Application materials include a CV, a cover letter, and one recommendation letter. The application deadline is not specified, so candidates should apply promptly via the posted application link.

Funding details

Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.

How to apply

Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.

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