"COLCOM - Postdoctoral Researcher in Embodied AI for Edge Robotics"

About UM6P

Mohammed VI Polytechnic University (UM6P) is an internationally oriented institution of higher learning, that is committed to an educational system based on the highest standards of teaching and research in fields related to the sustainable economic development of Morocco and Africa. UM6P is an institution oriented towards applied research and innovation. On a specific focus on Africa, UM6P aims to position these fields as the forefront and become a university of international standing.

More than just a traditional academic institution, UM6P is a platform for experimentation and a pool of opportunities, for students, professors and staff. It offers a high-quality living and study environment thanks to its state-of-the-art infrastructure. With an innovative approach, UM6P places research and innovation at the heart of its educational project as a driving force of a business model.

In its research approach, UM6P promotes transdisciplinary, entrepreneurship spirit and collaboration with external institutions for developing up to date science and at continent level in order to address real challenges.

All our programs run as start-ups and can be self-organized when they reach a critical mass. Thus, academic liberty is promoted as far as funding is developed by research teams.

The research programs are integrated from long-term research to short-term applications in linkage with incubation and start-up ecosystems.

About the recruiting Entity

The College of Computing is a central component of the University Mohammed VI Polytechnic (UM6P) with campuses in Benguerir and Rabat. The goal of the school is to set up an unprecedented research-education program, of international level, to address the UM6P challenges in terms of research and education, covering all aspects of computer science, including artificial intelligence, machine learning, data sciences, algorithms, databases, cloud computing, software engineering, networking, operating systems and security.

Job Description

The successful candidate will investigate robot learning methods for control and decision-making on edge robotic platforms. Research will focus on reinforcement learning, imitation learning, and the integration of large language, vision–language, and vision–language–action models to improve generalization. A key objective is to design lightweight and efficient learning architectures suitable for deployment on resource-constrained robotic systems. The postdoc will have access to state-of-the-art computational resources.

Key Responsibilities

• Develop novel methods for robot learning tailored to edge robotics.
• Validate and test these methods in both simulated and real robotic environments.
• Publish research findings in top-tier machine learning and robotics journals and conferences.

The selected candidate will work under the mentorship and guidance of Professor Mounir Ghogho.

Position Requirements

• Ph.D. in Computer Science, Machine Learning, Robotics, or a related field.
• Strong background in reinforcement and imitation learning for robotics.
• Experience with LLM, VLM or VLA.
• Proficiency in machine learning frameworks such as PyTorch, and common ML libraries.
• Experience with ROS and simulators such as Isaac Gym or MuJoCo (this is a plus).

Criteria of the candidate

• PhD in the subject discipline
• Prove ability to perform multidisciplinary research and contribute to funded research programs.
• Good English communication skills, both verbal and written are important.

Application and Selection

The application folder must contain:

• Detailed CV.
• Cover letter along with a synthetic presentation of the background, research works, projects and activities, publications, key achievements.
• Research and teaching plans, entrepreneurial ideas and concepts if any, and services to UM6P community.
• Contact information of 3 referees.