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Human Robot Postdoctoral Jobs (NOW HIRING)

New York University

RESEARCH SCHOLAR

New York, NY · On-site

$27/hr

Candidates will be responsible for working with lab's PhD students or postdoc on mechatronics ... Conduct human-subject experiments in medical robot applications The successful candidate will have ...

Fujitsu

Principal Researcher

Pittsburgh, PA · On-site

... robotics, computer vision, AI, and human-computer interaction(HCI), as well as their downstream ... postdoctoral research or impactful projects * Strong expertise in developing application-focused ...

University of Michigan

RESEARCH FELLOW

Ann Arbor, MI · On-site

... as postdoctoral fellows within the Med School. The candidates will work under the mentorship of ... Robotics, Clinical Trials, Human Movement Control, and Neuroplasticity. The NeuRRo Lab is housed ...

Vivodyne

Senior Scientist

San Francisco, CA

$107K - $147K/yr

You will lead the development, optimization, and scaling of advanced human tissue models for ... Partner closely with robotics and hardware teams to adapt tissue workflows for automated operation ...

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All JobsHuman Robot Postdoctoral Jobs

Human Robot Postdoctoral information

See salary details

$42.5K

$86K

$116.5K

How much do human robot postdoctoral jobs pay per year?

As of Jun 21, 2026, the average yearly pay for human robot postdoctoral in the United States is $85,959.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,000.00 and $116,000.00 per year, depending on experience, location, and employer.

What are some common research challenges faced by Human-Robot Postdoctoral researchers, and how can they be addressed?

Human-Robot Postdoctoral researchers often encounter challenges such as integrating interdisciplinary knowledge, managing complex experimental setups, and ensuring robust data collection. Collaborating closely with experts in robotics, psychology, and computer science can help bridge knowledge gaps. Additionally, maintaining clear communication with team members and leveraging specialized resources or labs can streamline experimental processes and foster innovative solutions.

What are the key skills and qualifications needed to thrive as a Human Robot Postdoctoral researcher, and why are they important?

To excel as a Human Robot Postdoctoral researcher, a strong background in robotics, human-robot interaction (HRI), computer science, or a related field—typically demonstrated by a Ph.D.—is essential. Expertise in programming languages (such as Python or C++), experience with robotics platforms (like ROS), and familiarity with experimental design and data analysis are commonly required. Outstanding analytical thinking, problem-solving abilities, collaboration, and effective communication set top candidates apart. These competencies are critical for advancing research, publishing impactful work, and contributing to multidisciplinary teams in the evolving field of human-robot interaction.

What is the difference between Human Robot Postdoctoral vs Human Robot Engineer?

AspectHuman Robot PostdoctoralHuman Robot Engineer
Required CredentialsPhD in Robotics, AI, or related fieldBachelor's or Master's in Robotics, Mechanical, or Electrical Engineering
Work EnvironmentResearch labs, academic institutionsIndustry settings, manufacturing, tech companies
Employer & Industry UsageUniversities, research institutesRobotics companies, tech firms, manufacturing
Common Search & ComparisonResearch roles, academic positionsDevelopment, design, and implementation roles

The main difference between a Human Robot Postdoctoral and a Human Robot Engineer lies in their focus and work environment. Postdoctoral roles are research-oriented, typically requiring a PhD and situated in academic or research institutions. Engineers usually hold a bachelor's or master's degree and work in industry settings, focusing on developing and deploying robotic systems. Both roles are integral to advancing robotics but serve different career stages and objectives.

What are Human Robot Postdoctoral researchers?

Human Robot Postdoctoral researchers are scholars who have completed their doctoral studies and are engaging in specialized research related to human-robot interaction. Their work often involves studying how humans and robots collaborate, communicate, and coexist in various environments. This research can span multiple disciplines, such as robotics, artificial intelligence, psychology, and engineering. Postdoctoral researchers contribute to advancing knowledge in the field, often publishing academic papers and developing new technologies or methods for improving human-robot collaboration.
Infographic showing various Human Robot Postdoctoral job openings in the United States as of June 2026, with employment types broken down into 4% As Needed, 5% Full Time, 73% Part Time, 2% Temporary, 14% Contract, and 2% Nights. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $85,959 per year, or $41.3 per hour.
Postdoctoral Researcher, Real-Time Generative AI for Automotive XR

Postdoctoral Researcher, Real-Time Generative AI for Automotive XR

Toyota Research Institute

Los Altos, CA • On-site

$152K - $218K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 22 days ago

Job description

At Toyota Research Institute (TRI), we're on a mission to improve the quality of human life. We're developing new tools and capabilities to amplify the human experience. To lead this transformative shift in mobility, we've built a world-class team advancing the state of the art in AI, robotics, driving, and material sciences.


The Mission

Our team uses design thinking process to place the human at the center of determining the needs, design, and implementation of human-machine interfaces. By following this process, the HMIR team creates automotive HMI technologies that allow humans of any ability to work in harmony with AI.

The Team

In the Human-Machine Interaction Research group (HMIR), we design, develop and evaluate novel interfaces to improve the safety, well-being, and performance of drivers using human-centered artificial intelligence.

The Opportunity

We are seeking a Postdoctoral Researcher for a research project exploring next-generation extended reality (XR) experiences for vehicles. The project investigates how generative AI and real-time video processing can enable new forms of visual augmentation and interaction between drivers and their environment. This role is intended for a researcher who can take ownership of core technical directions, drive implementation and evaluation, and coordinate closely with collaborators to deliver high-quality research outcomes.

This year-long postdoctoral research position will be highly integrated into the Human-Machine Interaction Research (HMIR) team at TRI. Please note that this opportunity will be an in-office role based in Los Altos, CA, and includes multiple trips to test tracks.

Responsibilities
  • Ph.D. in Machine Learning, Computer Science, Electrical Engineering, or a related field.
  • Track record of publications in top-tier venues (e.g. CVPR, ICCV, NeurIPS, ICML, ICLR).
  • Strong foundation in machine learning, especially in computer vision.
  • Extensive hands-on experience with image/video generative models.
  • Strong programming skills in Python; experience with Linux-based development.
  • Proven ability to lead research projects to publication-quality outcomes.
Qualifications
  • Ph.D. in Machine Learning, Computer Science, Electrical Engineering, or a related field.
  • Track record of publications in top-tier venues (e.g. CVPR, ICCV, NeurIPS, ICML, ICLR).
  • Strong foundation in machine learning, especially in computer vision.
  • Extensive hands-on experience with image/video generative models.
  • Strong programming skills in Python; experience with Linux-based development.
  • Proven ability to lead research projects to publication-quality outcomes.
Bonus Qualifications
  • Experience in real-time or resource-constrained ML systems.
  • Experience with GPU acceleration, profiling, or low-level optimization.
The pay range for this position at commencement of employment is expected to be between $152,000 and $218,500/year for California-based roles. Base pay offered will depend on multiple individualized factors, including, but not limited to, a candidate's experience, skills, job-related knowledge, and market location. TRI offers a generous benefits package including medical, dental, and vision insurance, 401(k) eligibility, paid time off benefits (including vacation, sick time, and parental leave), and an annual cash bonus structure. Additional details regarding these benefit plans will be provided if an employee receives an offer of employment.

Please reference this Candidate Privacy Notice to inform you of the categories of personal information that we collect from individuals who inquire about and/or apply to work for Toyota Research Institute, Inc. or its subsidiaries, including Toyota A.I. Ventures GP, L.P., and the purposes for which we use such personal information.
 
TRI is fueled by a diverse and inclusive community of people with unique backgrounds, education and life experiences. We are dedicated to fostering an innovative and collaborative environment by living the values that are an essential part of our culture. We believe diversity makes us stronger and are proud to provide Equal Employment Opportunity for all, without regard to an applicant's race, color, creed, gender, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, medical condition, religion, marital status, genetic information, veteran status, or any other status protected under federal, state or local laws.
 
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records for employment.
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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