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How much do phd student internship jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for phd student internship in the United States is $19.31, according to ZipRecruiter salary data. Most workers in this role earn between $16.11 and $20.91 per hour, depending on experience, location, and employer.

What is the difference between Phd Student Internship vs Research Assistant?

AspectPhd Student InternshipResearch Assistant
Required CredentialsEnrolled PhD student or equivalentTypically a graduate degree or current student in related field
Work EnvironmentAcademic or research institutions, labsUniversities, research centers, labs
Employer & Industry UsageUniversities, research organizations, industry R&DUniversities, government agencies, private sector
Common Search & Comparison IntentUnderstanding internship opportunities for PhD studentsLooking for research support roles in academia or industry

Phd Student Internships are typically short-term opportunities designed for enrolled PhD students to gain practical experience, often in academic or industry settings. Research Assistants usually hold a graduate degree or are current students supporting research projects. While both roles involve research activities, internships focus on training and exposure, whereas research assistant positions are more integrated into ongoing research work.

What are some common challenges PhD students face during internships, and how can they address them?

PhD student interns often encounter challenges such as adapting to a faster-paced, results-driven environment compared to academia, learning unfamiliar industry tools or processes, and aligning their research skills with practical business goals. To address these, it's helpful to proactively communicate with mentors, seek regular feedback, and be open to learning new methods. Building strong relationships with team members and staying flexible can greatly enhance both the learning experience and the overall impact of the internship.

What is a PhD student internship?

A PhD student internship is a temporary work placement that allows doctoral students to gain practical experience in industry, government, or non-academic research settings. These internships typically complement a student’s academic research by providing opportunities to apply their skills, learn new methodologies, and build professional networks. Internships can vary in duration and are often completed during the summer or as part of a research collaboration. They are valuable for career development and can help PhD students explore potential career paths beyond academia.

What are the key skills and qualifications needed to thrive as a PhD student intern, and why are they important?

To thrive as a PhD Student Intern, you need a solid academic background in your field, strong research skills, and progress toward a doctoral degree. Familiarity with data analysis tools, laboratory techniques, or specialized software relevant to your discipline is typically required. Strong problem-solving ability, effective communication, and adaptability help you collaborate with teams and convey complex ideas. These skills ensure you can contribute meaningfully to research projects while gaining valuable professional experience.
What cities are hiring for Phd Student Internship jobs? Cities with the most Phd Student Internship job openings:
What are the most commonly searched types of Phd Student jobs? The most popular types of Phd Student jobs are:
What states have the most Phd Student Internship jobs? States with the most job openings for Phd Student Internship jobs include:
Phd Student Internship jobs near you
Infographic showing various Phd Student Internship job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 63% Full Time, 33% Part Time, 1% Temporary, and 2% Contract. Highlights an 85% Physical, 1% Hybrid, and 14% Remote job distribution, with an average salary of $40,174 per year, or $19.3 per hour.

Robotics Research Internship, Humanoid Manipulation (Fall 2026) | PhD Internship

FieldAI

Boston, MA • On-site

$40 - $60/hr

Internship

Re-posted 14 days ago

Job description

FieldAI is transforming how robots interact with the real world. Our growing R&D team is based in Boston, where we develop risk-aware, reliable, field-ready AI systems that tackle the hardest problems in robotics and unlock the potential of embodied intelligence. We take a pragmatic approach that goes beyond off-the-shelf, purely data-driven methods or transformer-only architectures, combining cutting-edge research with real-world deployment. Our solutions are already deployed globally, and we continuously improve model performance through rapid iteration driven by real field use.
We are 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.
What You Will Get To Do
Advance Humanoid Manipulation Research
  • 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.

Contribute to the Research Community
  • Work towards publishing a paper in a leading robotics conference/journal
  • Work closely with other researchers, both internal and external.
  • Present your work at Field at robotic conferences

Contribute to Robotics Foundation Model Development
  • Support data collection pipelines used to train robotics foundation models.
  • Work with embodiment-agnostic representations to enable transfer across robot platforms.
  • Collaborate with researchers to integrate manipulation data into scalable learning frameworks.

Collaborate Across Disciplines
  • Work with teleoperators and field teams to refine interfaces and improve manipulation outcomes.
  • Partner closely with researchers and engineers to align experiments with broader autonomy goals.
  • Engage with mechanical and electrical engineers on hardware integration and system bring-up.

What You Have
  • 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.
  • 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.)

The Extras That Set You Apart
  • Prior experience working with humanoid robots or dexterous robotic hands.
  • Background in learning-based manipulation, including imitation learning or reinforcement learning.
  • Hands-on experience running experiments on real robot hardware.
  • Familiarity with ROS or ROS 2.
  • Publications, preprints, or open-source contributions in robotics or AI.
  • Interest in bridging cutting-edge research with practical, field-ready robotic systems.

$40 - $60 an hour
Why Join Field AI?
FieldAI is tackling one of robotics' hardest problems: deploying robots in unstructured, previously unknown environments. Our Field Foundational Models™ advance perception, planning, localization, and manipulation with an emphasis on explainability and safety, so our systems can be trusted where it matters most.
You will work alongside a world-class team that values creativity, resilience, and bold thinking. We bring a decade-long track record of real-world deployments, strong performance in DARPA challenges, and experience from organizations such as DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX.
Our R&D organization is growing and anchored in Boston, with close collaboration across our teams in Southern California and with colleagues around the US and globally.
Be Part of the Next Robotics Revolution
Solving problems at this scale takes a team as unique as the mission. We are looking for people who push beyond conventional approaches, enjoy tackling tough and ambiguous questions, and bring interdisciplinary perspective. Our success depends on exceptional AI researchers and engineers, as well as strong software developers, product designers, field deployment experts, and communicators who can turn breakthroughs into real capability.
We are headquartered in Mission Viejo (Irvine adjacent), Southern California, with teammates across the US and around the world. Join us to shape the future of embodied intelligence as part of a fun, close-knit team building systems that work in the real world.
Equal Opportunity
FieldAI celebrates diversity and is committed to creating an inclusive environment for all employees. Candidates and employees are evaluated based on merit, qualifications, and performance. We do not discriminate on the basis of race, color, religion, sex, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, or any other legally protected status.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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