CIFRE PhD Position in Autonomous Reinforcement Learning for Quadrotor Navigation

il y a 2 semaines


NeuillysurSeine, Île-de-France Framatome Temps plein

Job Description

This CIFRE PhD project focuses on developing autonomous reinforcement learning algorithms for quadrotor navigation in complex industrial environments. The successful candidate will work on designing and implementing advanced machine learning techniques to enable autonomous navigation and inspection of industrial sites.

Key Responsibilities

  • Design and implement reinforcement learning algorithms for autonomous quadrotor navigation
  • Develop and integrate machine learning models for industrial site inspection and quality control
  • Collaborate with the research team to develop and test autonomous systems for industrial applications
  • Contribute to the development of a comprehensive AI-based control and navigation system for autonomous drones

Requirements

  • Strong background in robotics, computer science, machine learning, or a related field
  • Proficiency in programming languages such as Python or C/C++
  • Good analytical and problem-solving skills, with a strong passion for discovery and cutting-edge research
  • Effective communication skills in English, and the ability to work both independently and as part of a multidisciplinary team

Working Conditions

The PhD researcher will be based at Framatome and will work closely with the research team at Central Supelec (SYCOMORE laboratory). The successful candidate will have access to state-of-the-art research facilities and equipment.

Duration and Funding

The PhD project is funded by CIFRE and will last for 3 years. The successful candidate will receive a stipend and benefits in accordance with French labor laws.



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