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Paid Internship
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Time Spent
Required Degree
Duration

11Open Positions

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Robot Learning Intern

Analog Devices
Found 1 month ago
Location
Limerick, Ireland
Duration (Months)
6 Months
Time
Not disclosed
Work Mode
Not disclosed
Salary
Not disclosed
Visa Help
Not disclosed
Last Verified
1 month ago

Education

  • PhD

Skills & Qualifications

Technical Skills

  • machine learning
  • robotics
  • Planning and control algorithms
  • A*
  • MPC
  • Optimization techniques
  • linear/nonlinear optimization
  • deep learning models
  • PyTorch
  • Reinforcement Learning
  • Imitation Learning
  • foundation models
  • VLA models
  • ROS/ROS2
  • Gazebo
  • Isaac

Soft Skills

  • problem solver
  • intellectually and professionally reward

Job Description

Robot Learning Intern The Dexterous AI Group (DAG) is looking for Robot Learning Engineer Intern to develop core AI technologies for Analog Devices’ future AI robotics with generality and dexterity, beyond the reach of traditional algorithms and system innovations. Responsibilities include: Contribute the development of advanced learning algorithms for general and dexterous robot using the state-of-the-art techniques. Create sandbox simulations, deployable implementations, and evaluation frameworks for algorithm performance and robustness. Contribute to data requirements, data collection setup and procedure, and data curation. Stay abreast of the latest developments in machine learning and robotics from reputable groups.

Requirements

  • Currently pursuing Ph.D. degree in relevant area
  • Strong background in machine learning and robotics
  • experience in: Planning and control algorithms (e.g., A*, MPC). Optimization techniques (e.g., linear/nonlinear optimization). Training deep learning models with PyTorch. Reinforcement Learning and Imitation Learning.

Related Field

  • AI & Machine Learning

Related Subfield

  • Robotics & Autonomous Systems

Languages

  • English

Nice to Haves

  • foundation models and VLA models
  • robotics toolkits (e.g., ROS/ROS2, Gazebo, Isaac)
  • robotic systems and mechanical design
▶Apply Now

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