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Ampere Software Technology

CIFRE PhD in Deep Learning-Based Motion Planning for Autonomous Driving Ampere Software Technology in France

Degree Level

PhD

Field of study

Computer Science

Funding

Full funding available
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Country

France

University

Ampere Software Technology

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Keywords

Computer Science
Mechanical Engineering
Electrical Engineering
Deep Learning
Mathematics
Software Engineering
Python Programming
Reinforcement Learning
Robotics
Autonomous Vehicle

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About this position

Ampere Software Technology (Renault Group) is recruiting a CIFRE PhD candidate in Autonomous Driving focused on Deep Learning-Based Motion Planning.

The project aims to move beyond traditional planning methods by using deep learning and reinforcement learning to generate safe, efficient, and comfortable trajectories in complex real-world driving environments. The research sits at the intersection of autonomous driving, ADAS, motion planning, and robotics, with an emphasis on integrating prediction and planning into a unified framework.

This is an industry-academia opportunity under the CIFRE framework, offering the chance to work on cutting-edge intelligent vehicle technologies while collaborating between company and academic settings. The post highlights a strong fit for candidates with experience in deep learning, reinforcement learning, motion planning, robotics, or autonomous systems.

Preferred technical skills include Python, Rust, Git, and CarOS. The announcer is Hussam Atoui, an AI & Control Software Engineer associated with Université Grenoble Alpes and Ampere Software Technology.

No deadline, stipend amount, or detailed funding breakdown is provided in the post. Interested candidates are directed to apply via the shared LinkedIn 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.

More information can be found here

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