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Postdoc Robotics information

What is the difference between Postdoc Robotics vs Research Scientist Robotics?

AspectPostdoc RoboticsResearch Scientist Robotics
Required CredentialsPhD in Robotics, Engineering, or related fieldMaster's or PhD, often with more industry experience
Work EnvironmentAcademic labs, universities, research institutionsIndustry R&D labs, tech companies, startups
Employer & Industry UsageUniversities, government research agenciesPrivate companies, industry-focused research
Common Search & Comparison IntentUnderstanding academic vs industry roles in roboticsExploring career progression from academia to industry

Postdoc Robotics positions are primarily academic roles focused on research and publishing, often requiring a PhD. Research Scientist Robotics roles are industry positions that involve applied research, product development, and innovation within companies. While both roles involve robotics research, Postdocs are more academic-oriented, whereas Research Scientists work in commercial environments with a focus on practical applications.

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

To thrive as a Postdoc in Robotics, you need a PhD in robotics, computer science, electrical engineering, or a related field, along with strong research and analytical skills. Proficiency with programming languages (such as Python or C++), robotics simulation tools (like ROS or Gazebo), and experience with machine learning or control systems is typically required. Excellent problem-solving abilities, collaboration, and clear scientific communication make a candidate stand out. These skills and qualities are crucial for advancing research, publishing impactful work, and contributing to innovative robotics projects.

What are Postdoc Robotics positions?

Postdoc Robotics positions are advanced research roles typically held by individuals who have recently completed their PhD in robotics or a related field. These positions involve conducting independent or collaborative research focused on robotics technologies, such as autonomous systems, artificial intelligence, machine learning, or human-robot interaction. Postdoctoral researchers in robotics often work at universities, research institutes, or industry labs, contributing to scientific publications and helping to develop new technologies. The role is meant to further develop research expertise and prepare for careers in academia, industry, or government research.

What types of interdisciplinary collaboration can a Postdoc in Robotics expect, and how do these collaborations impact research outcomes?

As a Postdoc in Robotics, you can expect to work closely with professionals from various fields such as computer science, mechanical engineering, electrical engineering, and even biology or cognitive science, depending on the project. These interdisciplinary collaborations are crucial for addressing complex research problems, fostering innovation, and ensuring that robotic systems are both technically robust and practical for real-world applications. Effective teamwork and communication skills are essential, as you will often contribute your robotics expertise while integrating insights from collaborators to advance research outcomes and publish in high-impact journals.
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Infographic showing various Postdoc Robotics job openings in the United States as of July 2026, with employment types broken down into 8% Locum Tenens, 6% Internship, 8% As Needed, 63% Full Time, 2% Part Time, and 13% Nights. Highlights an 96% Physical, and 4% Remote job distribution.
Postdoc - Robotics and Embodied AI

Postdoc - Robotics and Embodied AI

Brookhaven National Laboratory

Upton, NY • On-site

Full-time

Posted 12 days ago

Job description

Job Summary:
Brookhaven National Laboratory is committed to employee success and is seeking qualified candidates for a postdoc research position in robotics and embodied AI. The role involves conducting fundamental and applied research in embodied AI, collaborating with interdisciplinary teams, and publishing research outcomes to support scientific workflows.
Responsibilities:
• Conduct fundamental and applied research in embodied AI, agentic AI, and robotics, including research with a software-focus (robotics foundation models, world models, simulations), and a hardware-focus (robotic perception, control, manipulation and interaction).
• Collaborate effectively with interdisciplinary teams across BNL and with our academic and industry partners.
• Conceive and execute high-quality research ideas in partnership with AI Department colleagues and mentors.
• Publish and communicate research outcomes and participate in proposal and collaboration-building activities.
Qualifications:
Required:
• Ph.D. in computer science, computer / electrical engineering or related fields (e.g., other science, engineering, applied mathematics, statistics) awarded within the past 5 years.
• Strong theoretical understanding and practical experience in methods and applications from machine learning, artificial intelligence, and robotics research communities.
• Demonstrated publication record in AI/ML and/or robotics fields.
• Excellent programming and computer science skills.
Preferred:
• Practical experience designing and developing novel AI/ML models.
• Experience with state-of-the-art foundation models, agentic AI models, and simulation environments for robotics.
• Hands-on experience with robotics and/or ML-based work with relevant electronics and components (sensors, motors, controllers, etc.).
• Experience with 3D modeling, 3D printing, and custom hardware.
• Experience in developing, training, evaluating, and deploying large AI/ML models in HPC and cluster computing environments.
• Experience with electronics and mechanical diagnostics, maintenance, and customization (e.g. disassembly, soldering, driver troubleshooting, etc.)
• Experience working in multidisciplinary collaborations.
Company:
Brookhaven National Laboratory is a multi-purpose research institution focused on questions in basic and applied science. Founded in 1947, the company is headquartered in Upton, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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