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

To thrive as a Robotics PhD Intern, you need advanced knowledge of robotics, machine learning, and algorithm development, usually supported by ongoing doctoral studies in robotics, computer science, or a related field. Proficiency with programming languages such as Python or C++, simulation tools like ROS (Robot Operating System), and relevant research methodologies is typically required. Strong analytical thinking, problem-solving abilities, and effective collaboration and communication skills help interns excel in research teams. These skills and qualities are crucial for driving innovation, contributing to cutting-edge projects, and effectively translating research into practical robotics solutions.

What types of projects and daily tasks can a Robotics PhD Intern expect to work on during their internship?

As a Robotics PhD Intern, you will typically engage in cutting-edge research and development projects, often contributing to areas such as computer vision, machine learning, sensor integration, or autonomous navigation. Daily tasks may include designing and running experiments, analyzing data, developing algorithms, and collaborating closely with multidisciplinary teams of engineers and researchers. Interns often present findings in team meetings and participate in code reviews, gaining valuable feedback and exposure to real-world robotics challenges. This hands-on experience is an excellent opportunity to bridge academic research with industry applications, preparing you for future roles in robotics or advanced R&D.

What does a Robotics PhD Intern do?

A Robotics PhD Intern typically works on advanced research and development projects related to robotics, such as designing algorithms, building prototypes, and conducting experiments. They collaborate with senior researchers and engineers, contribute to academic publications, and may present their findings at conferences. The internship is designed to provide hands-on experience in applying theoretical knowledge to solve real-world robotics challenges, often in areas like machine learning, computer vision, or control systems.

What is the difference between Robotics Phd Intern vs Robotics Engineer?

AspectRobotics Phd InternRobotics Engineer
Required CredentialsPhD candidate or recent PhD graduate in robotics, engineering, or related fieldBachelor's or Master's in robotics, mechanical, electrical, or computer engineering
Work EnvironmentResearch labs, academic institutions, corporate R&D departmentsIndustrial settings, manufacturing, technology companies, startups
Employer & Industry UsageUniversities, research institutions, corporate R&D teamsTech companies, manufacturing firms, automation industries

The main difference between a Robotics Phd Intern and a Robotics Engineer lies in experience, focus, and employment setting. Interns are typically pursuing or have recently completed a PhD and focus on research and development in academic or corporate labs. Robotics Engineers usually hold a bachelor's or master's degree and work on designing, developing, and implementing robotic systems in industrial environments.

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Infographic showing various Robotics Phd Intern job openings in the United States as of May 2026, with employment types broken down into 12% Internship, 1% As Needed, 63% Full Time, 21% Part Time, 1% Temporary, and 2% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution.

Robotics Research Intern, Robot Learning (Summer 2026) | PhD Internship

FieldAI

Pittsburgh, PA

$50 - $53/hr

Other

Posted 12 days ago

Job description

Field AI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications.
 
We are offering a Summer 2026 internship in Robot Learning for students interested in advancing embodied intelligence through large-scale learning, foundation models, and real-world robotic deployment. As a research intern, you will work closely with FieldAI researchers and engineers to explore novel approaches to robot learning and autonomy, with a focus on scalable methods that generalize across tasks and embodiments.
 
This internship is designed for PhD students who want to connect cutting-edge AI research with practical robotics systems. You will have the opportunity to design experiments, develop learning pipelines, and validate ideas on real robotic platforms, contributing directly to FieldAI's deployed autonomy stack.
What You Have:

  • Current PhD student in Robotics, Computer Science, Artificial Intelligence, Machine Learning, or a closely related field.

  • Research experience in robot learning, reinforcement learning, imitation learning, or related areas.

  • Strong foundation in machine learning fundamentals and experimental methodology.

  • Develop multi-modal data collection platform for day/night robot navigation data collection

  • Collect high-quality datasets for reproducible and comparable research and evaluation

  • Summarize and publish learnings in high-quality robot research conference or journal

  • Ability to work independently while collaborating effectively in a research environment.

  • Strong interest in embodied intelligence and real-world robotics systems.

The Extras That Set You Apart

  • Prior experience working with real robot platforms.

  • Familiarity with ROS or ROS 2.

  • Experience with large-scale or distributed training systems.

  • Publications or open-source contributions in robotics or AI.

  • Background in perception, planning, or control for robotics.

  • Interest in bridging foundational research with deployed robotic systems.

$50 - $53 an hour
 
What You Have:

  • Current PhD student in Robotics, Computer Science, Artificial Intelligence, Machine Learning, or a closely related field.

  • Research experience in robot learning, reinforcement learning, imitation learning, or related areas.

  • Strong foundation in machine learning fundamentals and experimental methodology.

  • Develop multi-modal data collection platform for day/night robot navigation data collection

  • Collect high-quality datasets for reproducible and comparable research and evaluation

  • Summarize and publish learnings in high-quality robot research conference or journal

  • Ability to work independently while collaborating effectively in a research environment.

  • Strong interest in embodied intelligence and real-world robotics systems.

The Extras That Set You Apart

  • Prior experience working with real robot platforms.

  • Familiarity with ROS or ROS 2.

  • Experience with large-scale or distributed training systems.

  • Publications or open-source contributions in robotics or AI.

  • Background in perception, planning, or control for robotics.

  • Interest in bridging foundational research with deployed robotic systems.

Our salary range is generous and we take into consideration an individual's background and experience in determining final salary; base pay offered may vary considerably depending on geographic location, job-related knowledge, skills, and experience. 
 
Why Join Field AI?
We are solving one of the world's most complex challenges: deploying robots in unstructured, previously unknown environments. Our Field Foundational Models set a new standard in perception, planning, localization, and manipulation, ensuring our approach is explainable and safe for deployment.
 
You will have the opportunity to work with a world-class team that thrives on creativity, resilience, and bold thinking. With a decade-long track record of deploying solutions in the field, winning DARPA challenge segments, and bringing expertise from organizations like DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise Self-Driving, Zoox, Toyota Research Institute, and SpaceX, we are set to achieve our ambitious goals.
 
Be Part of the Next Robotics Revolution
To tackle such ambitious challenges, we need a team as unique as our vision - innovators who go beyond conventional methods and are eager to tackle tough, uncharted questions. We're seeking individuals who challenge the status quo, dive into uncharted territory, and bring interdisciplinary expertise. Our team requires not only top AI talent but also exceptional software developers, engineers, product designers, field deployment experts, and communicators.
 
We are headquartered in always-sunny Irvine, Southern California and have US based and global teammates. 
 
Join us, shape the future, and be part of a fun, close-knit team on an exciting journey!
 
We celebrate diversity and are committed to creating an inclusive environment for all employees. Candidates and employees are always evaluated based on merit, qualifications, and performance. We will never discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, 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. 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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