AI & Control Intern – Whole-Body Control (Robotics)
Контакты
Формат работы
onsite
Тип работы
fulltime
Грейд
trainee
Английский
b2
Страна
France
pythonc++reinforcement learningroboticsmotion planningtrajectory optimizationcontrol theorywhole body control
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Это стажировка с понятными задачами в продуктовой робототехнической компании и практической работой с реальными медицинскими и человекоподобными роботами; главный минус - зарплата не указана.
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Без данных о зарплатеСовременный стекПередовая робототехникаПонятные задачи
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Текст:
Hirify AI/Оригинал
TL;DR
AI & Control Intern – Whole-Body Control (Robotics): Developing control algorithms for exoskeletons and humanoid robots from mathematical formulation and simulation through deployment and validation on real robots, with an accent on locomotion, manipulation, multi-contact control, and whole-body motion generation. Focus on designing MPC and NMPC strategies, optimizing trajectories, modeling robot dynamics and contacts, and validating real-time C++ and Python implementations.
Location: Paris, France; onsite work with exoskeletons and humanoid robots.
Company
hirify.global designs, manufactures, and sells AI-powered exoskeletons and humanoid robots for healthcare and industrial applications, including Atalante X, Eve, and Calvin.
What you will do
Develop whole-body control algorithms for floating-base exoskeletons and humanoid robots.
Design linear and nonlinear control strategies, including MPC and NMPC.
Develop online and offline trajectory optimization and motion-generation algorithms for locomotion and manipulation.
Model robot dynamics, contacts, and interactions with the environment, and develop or integrate state-estimation algorithms from sensor data.
Explore learning-based approaches, including reinforcement learning, when relevant.
Write maintainable C++ and Python software, then test, debug, and validate algorithms on real robots while contributing to the long-term control-stack architecture.
Requirements
Final-year Master's or engineering-school student, M2 or equivalent, in Robotics, Controls, Optimization, Applied Mathematics, or a related scientific field; PhD students are also welcome to apply.
Hands-on experience with robotics, control, motion generation, trajectory optimization, or related algorithmic development through industry, research, or significant academic projects.
Autonomous-level programming skills in C++ and Python.
Autonomous-level algorithmics skills.
Autonomous-level knowledge of robotics, including kinematics, dynamics, and working with sensor data.
Autonomous-level knowledge of control theory.
Basic knowledge of machine learning.
Culture & Benefits
Six-month internship contract.
Collaboration with whole-body control, mechanical, electronics, perception, and software teams.
Work on AI and robotics technologies for healthcare and industrial use cases.
Direct experimentation and validation on exoskeletons and humanoid robots.
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