Humanoid Manipulation Research Internship – Fall 2026

FieldAI; Boston (MA); On-site; USD 55,000 - 83,000; Full time

Job summary

FieldAI is offering a Fall 2026 internship focused on humanoid manipulation for PhD students interested in advancing embodied intelligence on humanoids.

As a research intern, you will work at the intersection of robotics research and applied engineering, contributing to manipulation capabilities that directly support FieldAI's autonomy and robot learning efforts while advancing the field of robotics through academic research with the goal of publishing a paper to a leading journal or conference.

Qualifications

• Current PhD student in robotics, CS, mechanical engineering, electrical engineering, AI/ML or closely related field.
• Research experience in robotic manipulation, loco-manipulation, or related robotics domains.
• Strong foundation in robot kinematics, dynamics, and control.
• Proficiency in Python and/or C++, with experience using robotics or ML tooling.
• Experience designing experiments and evaluating results on robotic systems (simulation or hardware).
• Curiosity, initiative, and a strong interest in embodied intelligence and real-world robotics.
• 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 and collaborate with researchers.

Skills

Python

C++

Robotics tooling

Experiment design

Education

PhD student in Robotics, CS, ME, EE, AI/ML or related field

Tools

ROS/ROS 2

Job description

FieldAI is offering a Fall 2026 internship focused on humanoid manipulation for PhD students interested in advancing embodied intelligence on humanoids.

As a research intern, you will work at the intersection of robotics research and applied engineering, contributing to manipulation capabilities that directly support FieldAI's autonomy and robot learning efforts while advancing the field of robotics through academic research with the goal of publishing a paper to a leading journal or conference.