Université Euro-Méditerranéenne de Fès
1 week ago
PhD in Adaptive Assistive Robotics and Multimodal AI at Euromed University of Fez Euromed University of Fez in Morocco
Degree Level
PhD
Field of study
Computer Science
Funding
Selected PhD candidate will receive a monthly scholarship of MAD 5,000, with a possible increase based on scientific publications.
Country
Morocco
University
Université Euro-Méditerranéenne de Fès

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About this position
PhD Opportunity at Euromed University of Fez (UEMF), Morocco
This post announces a PhD opening in Artificial Intelligence and Assistive Robotics at Euromed University of Fez. The research topic is Adaptive Assistive Robotics: Multimodal AI for Personalized Human–Robot Assistance.
The project focuses on building an intelligent framework for reliable, context-aware, and long-term preference memory in assistive robots. The work will explore how robots can separate persistent user preferences from temporary contextual changes and unreliable observations, with methods including contextual and temporal preference modeling, reliability-aware memory updating, active clarification strategies, and uncertainty-aware temporal knowledge graphs. Experimental validation is planned using the Pepper social robot.
Ideal candidates should have a Master's degree or engineering degree in Artificial Intelligence, Computer Science, Robotics, Data Science, or a related field. A strong background in machine learning, deep learning, and algorithm design is expected. Experience or knowledge in probabilistic modeling, uncertainty estimation, temporal modeling, or knowledge graphs is considered an asset. Python programming skills and familiarity with PyTorch or TensorFlow are also requested.
The selected PhD student will receive a monthly scholarship of MAD 5,000, with the possibility of an increase based on scientific publications.
To apply, candidates should submit their applications through the official UEMF doctoral application platform using the provided link. No deadline is stated in the post.
Funding details
Selected PhD candidate will receive a monthly scholarship of MAD 5,000, with a possible increase based on scientific publications.
What's required
Applicants should hold a Master's degree or engineering degree in Artificial Intelligence, Computer Science, Robotics, Data Science, or a related field. Strong background in machine learning, deep learning, and algorithm design is required. Knowledge of probabilistic modeling, uncertainty estimation, temporal modeling, or knowledge graphs is an asset. Candidates should have programming skills in Python, familiarity with machine learning frameworks such as PyTorch or TensorFlow, interest in human-robot interaction, assistive robotics, and personalized intelligent systems, and strong analytical, problem-solving, and scientific communication skills.
How to apply
Submit applications through the official UEMF doctoral application platform. Use the provided application link and apply via the doctoral portal.
More information can be found here
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