PhD Robotics Research Internship: Humanoid Manipulation

Field Ai

Boston (MA)

On-site

USD 34,000 - 55,000

Full time

6 days ago
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Job summary

FieldAI invites a Fall 2026 research internship focused on humanoid manipulation for PhD students passionate about embodied intelligence and robotics. You will work at the intersection of robotics research and applied engineering, contributing to manipulation capabilities that support autonomy and robot learning while aiming to publish a paper in a leading venue.

You will collaborate with researchers and engineers to integrate manipulation data into scalable learning frameworks, participate in

Qualifications

  • Current PhD student in Robotics, Computer Science, Mechanical Engineering, Electrical Engineering, AI/ML, or a closely related field.
  • Research experience in robotic manipulation, loco-manipulation, or related robotics domains.
  • Publications in leading robotics journals/conferences (ICRA, IROS, CORL, RA-L, T-RO, etc.)

Responsibilities

  • Design, implement, and evaluate manipulation strategies for humanoid robots across diverse tasks.
  • Explore loco-manipulation problems that integrate perception, planning, and control.
  • Work towards super-human dexterity, developing systems that outperform human teleoperation.
  • Publish a paper in a leading robotics conference/journal.
  • Collaborate with researchers and engineers to align experiments with autonomy goals.
  • Assist with data collection pipelines for robotics foundation models.
  • Engage with hardware integration and system bring-up with mechanical/electrical engineers.

Skills

Python
C++
Loco-manipulation
ROS/ROS 2

Education

PhD student in Robotics / CS / Mechanical Eng / Electrical Eng / AI/ML

Tools

ROS/ROS 2

Job description

FieldAI invites a Fall 2026 research internship focused on humanoid manipulation for PhD students passionate about embodied intelligence and robotics. You will work at the intersection of robotics research and applied engineering, contributing to manipulation capabilities that support autonomy and robot learning while aiming to publish a paper in a leading venue.

You will collaborate with researchers and engineers to integrate manipulation data into scalable learning frameworks, participate in

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