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Human Robot Interaction Phd Jobs (NOW HIRING)

Auzmor

Robotics & AI Research Engineer

Des Moines, IA · On-site

... for human-robot interaction. You will develop state-of-the-art machine learning models ... PhD or Master's degree in Artificial Intelligence, Machine Learning, Robotics, Computer Science, or ...

Apptronik

Senior Perception Learning Engineer

Sunnyvale, CA · On-site

$122K - $167K/yr

... to enhance autonomy and human-robot interaction. Responsibilities : • Lead the design ... Required : • MS/PhD in Computer Science, Robotics, Computer Engineering, or related field. • 3 ...

Cobot

Robot Data Collection Lead

Seattle, WA · On-site

$125K - $145K/yr

Join us to reimagine the future of human-robot interaction. Collaborative Robotics is a team of innovators and builders redefining the future of human-robot interaction. We are working to realize a ...

Skild AI

Mechanical Design Engineer

San Mateo, CA

$86K - $117K/yr

Design, prototype, and test hardware systems for human-robot interaction * Create detailed CAD models and drawings for jigs, fixtures, and tools using CAD software for mechanical components.

Cobot

Robotics Assistant

Seattle, WA · On-site

$22/hr

Join us to reimagine the future of human-robot interaction. Collaborative Robotics is a team of innovators and builders redefining the future of human-robot interaction. We are working to realize a ...

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How much do human robot interaction phd jobs pay per hour?

As of Sep 13, 2026, the average hourly pay for human robot interaction phd in the United States is $21.09, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $23.80 per hour, depending on experience, location, and employer.

What is a Human Robot Interaction PhD?

A Human Robot Interaction (HRI) PhD is an advanced research degree focused on the study of how humans and robots communicate, collaborate, and coexist. This multidisciplinary field combines robotics, computer science, psychology, and design to improve the ways in which people interact with robotic systems. PhD students in HRI work on topics like social robotics, user interface design, machine learning, and understanding human behavior. Graduates often pursue careers in academia, research labs, or industries developing next-generation robots and intelligent systems.

What are the key skills and qualifications needed to thrive as a human robot interaction PhD?

To thrive as a Human Robot Interaction PhD, you need advanced knowledge in robotics, human-computer interaction, and experimental research methods, typically supported by a PhD in a related field. Familiarity with programming languages (such as Python, C++), robotics middleware (ROS), and data analysis tools is often required. Exceptional problem-solving abilities, interdisciplinary collaboration, and strong communication skills help distinguish top candidates. These skills are vital for developing innovative, user-centered robotic systems and effectively translating research into impactful real-world applications.

What are some typical interdisciplinary collaborations involved in a human robot interaction PhD program?

A Human Robot Interaction (HRI) PhD program often involves close collaboration with experts across fields such as computer science, psychology, cognitive science, and engineering. PhD candidates commonly work with teams on designing user studies, developing robotic platforms, and analyzing human behavior in interaction scenarios. These collaborations help students gain a well-rounded perspective, foster innovation, and prepare them for both academic and industry careers where cross-functional teamwork is essential. Engaging with diverse disciplines also enhances communication skills and opens up opportunities for co-authored research and networking.

What are popular job titles related to Human Robot Interaction Phd jobs?

For Human Robot Interaction Phd jobs, the most frequently searched job titles are:

Infographic showing various Human Robot Interaction Phd job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 16% Part Time, and 3% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $43,864 per year, or $21.1 per hour.

Postdoctoral Research Associate - Robotics and AI

Oxford, MS • On-site

University of Mississippi
Colleges, Universities, and Professional Schools • 5 - 10K employees
Learn more about University of Mississippiexternal

Full-time

Re-posted 17 days ago

Key responsibilities

  • Develop, implement, and deploy robotics and AI methods on real hardware.

  • Help make robotic systems reliable and deployable through validation, testing, and runtime monitoring.

  • Mentor graduate and undergraduate students and develop reusable methods, demonstrations, and shared testbeds.

University Of Mississippi rating

7.9

Company rating: 7.9 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

Job description

The University of Mississippi - fondly referred to as Ole Miss - stands as a premier public research institution with a proud legacy of academic distinction. We are devoted to nurturing a vibrant, inclusive community where every member - student, faculty, and staff - can achieve their fullest potential.

Job Summary:

The Department of Mechanical Engineering at the University of Mississippi seeks a Postdoctoral Research Associate in robotics and AI to join Dr. Xiaopeng Zhao's research group. We welcome applicants from across engineering and computer science with expertise in any area of robotics, including manipulation, mobile and legged robots, autonomous navigation, perception and computer vision, motion planning and control, learning-based control, human-robot interaction, and sensing and state estimation.
The group's distinctive focus is making AI-enabled robots reliable and deployable in the real world: not only building capable systems, but validating them, monitoring them, and establishing the credibility that lets them be trusted in clinical and industrial settings. You will apply your robotics expertise to real hardware on various testbeds. The role includes a named part in proposal development, mentoring of graduate students, and a clear path toward research-faculty status as external funding grows.

Job Description:

  • Develop, implement, and deploy robotics and AI methods on real hardware, in the area that fits your strengths (for example perception, control, planning, learning, manipulation, navigation, or human-robot interaction).
  • Help make those systems reliable and deployable: validation, testing, runtime monitoring, and building the case for safe real-world use.
  • Lead publications, present at leading venues, and co-develop federal and foundation proposals.
  • Mentor graduate and undergraduate students and develop reusable methods, demonstrations, and shared testbeds that build lasting research capacity.
  • Collaborate with clinical, industrial, and academic partners across disciplines.

Job Responsibilities:

Required Qualifications
  • Ph.D.in Mechanical Engineering, Electrical or Computer Engineering, Computer Science, Robotics, Aerospace Engineering, Mechatronics, or a closely related field by the time of appointment.
  • Research experience in one or more areas of robotics or autonomous systems (for example manipulation, mobile or legged robots, navigation, perception, motion planning and control, learning-based control, sensing and state estimation, or human-robot interaction).
  • Hands-on experience building or deploying robotic systems on physical hardware (for example ROS / ROS 2), or a clear track record of moving work from simulation to hardware.
  • Proficiency in Python and modern machine-learning tools (for example PyTorch), and systems-level programming (C++ / ROS).
  • A strong publication record relative to career stage, including at least one first-author paper, and excellent written and verbal communication in English.

Preferred Qualifications
  • Interest or experience in making AI-enabled systems trustworthy: verification and validation, uncertainty quantification, runtime monitoring, safety cases, or reliability.
  • Experience with medical or physiological devices, or with industrial automation and manufacturing robotics.
  • Experience contributing to research proposals and mentoring students across disciplines.

Compensation and Benefits
  • Salary will be commensurate with qualifications and experience and will follow institutional guidelines. The position includes a competitive benefits package.

Application Materials
  • A cover letter describing research interests, relevant experience, and career goals.
  • A curriculum vitae.
  • A statement of research accomplishments and future goals (maximum two pages).
  • Up to two representative publications.
  • Contact information for three professional references.

Education Qualifications:

PhD (Required)

Experience:

Interview Requirement:

Interview Requirements: Any candidate who is called for an interview must notify the Department of Equal Opportunity/Regulatory Compliance in writing of any reasonable accommodation needed prior to the date of the interview.

EEO Statement:

The University of Mississippi provides equal opportunity in any employment practice, education program, or education activity to all qualified persons. The University complies with all applicable laws regarding equal opportunity and does not unlawfully discriminate against any employee or applicant for employment based upon race, color, gender, sex, pregnancy, sexual orientation, gender identity or expression, religion, national origin, ethnicity, citizenship, age, disability, military status, protected veteran status, genetic information, or any other legally protected status.

Background Check Statement:

The University of Mississippi is committed to providing a safe campus community. UM conducts background investigations for applicants being considered for employment. Background investigations include a criminal history record check, and when appropriate, a financial (credit) report or driving history check.

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