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Bojan Mavkov

5 days ago

PhD in Hybrid Control for Quadruped Robot Locomotion and Control Université Côte d’Azur in France

Degree Level

PhD

Field of study

Computer Science

Funding

Fully funded 3-year CIFRE PhD position. The project is described as a fully funded 3-year PhD on hybrid control for quadruped robot locomotion and control.

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Country

France

University

Université Côte d'Azur

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Keywords

Computer Science
Mechanical Engineering
Electrical Engineering
Deep Learning
Mathematics
Python Programming
Reinforcement Learning
Artificial Neural Network
Robotics
Statistics
Applied Mathematic

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About this position

PhD opportunity in quadruped robot locomotion and control at IMRA Europe and the i3S Laboratory (Université Côte d’Azur / CNRS) in Sophia Antipolis, France.

The project is titled Hybrid Control for the Locomotion of a Quadruped Robot on Heterogeneous Terrain and focuses on combining physical model-based control with Reinforcement Learning (RL) for real-world sim-to-real deployment on the Unitree Go2 quadruped robot.

Research themes include system modeling, model-based control, robust walking control, RL policy training, physics simulation, and deployment from simulation to hardware. This is a strong fit for candidates interested in Robotics, Control Theory, Computer Science, Mathematics, and machine learning for embodied systems.

The position is a fully funded 3-year CIFRE PhD. The post does not mention tuition or fee waivers, but it clearly states full funding for the doctoral project.

Eligibility highlights include a strong background in Control, Robotics, and Applied Mathematics, plus proficiency in C/C++, Python, MATLAB, ROS, and Linux. Experience in Deep Learning / Neural Networks is also requested.

Applications should be sent by email as a single PDF containing your CV, cover letter, and recent grades. The announcement notes an earliest start date from December 2026.

Funding details

Fully funded 3-year CIFRE PhD position. The project is described as a fully funded 3-year PhD on hybrid control for quadruped robot locomotion and control.

What's required

Strong background in Control, Robotics, and Applied Mathematics. Proficiency in C/C++, Python, MATLAB, ROS, and Linux. Experience in Deep Learning / Neural Networks is required or strongly preferred based on the announcement.

How to apply

Send your CV, cover letter, and recent grades in a single PDF by email to [email protected] and [email protected]. See the linked announcement for full details.

More information can be found here

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