GE Aerospace Research Robotics and Embodied AI PhD Fellow Internship Autonomous Systems Research Group

GE Aerospace

116d • $1,000 - $2,000

About The Position

GE Aerospace Research is looking for a highly motivated PhD student to join our Robotics and Autonomous System team as a Fellow Intern. You will work side by side with experts in the field on robotics and embodied AI research projects to solve real-world technical problems and challenges. As a PhD Fellow Intern, you will be challenged to apply your theoretical knowledge into practice and gain invaluable hands-on experience with cutting edge robotics and AI technologies that help shape the Future of Flight.

Requirements

• Currently enrolled in a full-time PhD program at a U.S. university in mechanical engineering, electrical engineering, computer engineering, computer science, or related fields.
• Permanent legal authorization to work in the US.
• Minimum GPA of 3.0 on a 4.0 scale.

Nice To Haves

• Strong background in robotics, machine learning, and/or deep learning.
• Publication records at research conferences such as ICRA, IROS, RSS, CoRL, CVPR, CASE.
• Experience in end-to-end vision-language-action models, reinforcement learning, real2sim/sim2real transfer, path planning and motion planning.
• Proficiency in Python and experience with ROS.
• Hands-on experience working with robotic arms and systems.
• Strong interpersonal skills, initiative, and organization.
• Demonstrated ability to work with a team.
• Strong problem-solving skills and attention to detail.

Responsibilities

• Work on robotics and embodied AI research projects.
• Apply theoretical knowledge into practical solutions.
• Gain hands-on experience with robotics and AI technologies.

Benefits

• Travel reimbursement and housing stipend for qualified interns.
• Professional development and mentorship opportunities.
• Networking opportunities with industry experts.
• Competitive compensation.

What This Job Offers

• Job Type: Full-time
• Career Level: Intern
• Industry: Transportation Equipment Manufacturing
• Education Level: Ph.D. or professional degree