Human-Machine Teaming Intern - Honda Research Institute USA

Human-Machine Teaming Intern

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Human-Machine Teaming Intern

Job Number: P24INT-55
​Honda Research Institute USA (HRI-US) is seeking a motivated PhD intern to contribute to research in human–machine teaming, broadly defined. Traditional teaming approaches have been framed in terms of function allocation or levels of autonomy, in which the tasks of human and machine are cleanly delineated into separate categories so that assignment is straightforward. Yet in practice, human and machine capabilities typically overlap, couple, and evolve dynamically. Our work reframes teaming as the problem of aligning distributions of human and machine intent, enabling more flexible, principled, and adaptive forms of collaboration. Methods such as optimal transport, flow matching, and related distributional alignment techniques provide a foundation for advancing human machine teaming in domains ranging from navigation to co-manipulation to user experience design.
San Jose, CA

 

Key Responsibilities

 
  • Derive novel human machine teaming methods that go beyond traditional function allocation or levels of autonomy based approaches.
  • Formulate methods in a distributional representation, e.g. using optimal transport or flow matching.
  • Develop and implement method in a simple simulator.

 

Minimum Qualifications

 
  • ​Phd student.
  • Experience with probabilistic formulations, ideally using distribution based approaches for modeling human-robot or human-machine interaction (game theory counts).
  • Experience implementing techniques in proof of concept simulations (e.g. experience in Python, especially using accelerator libraries like Jax.)

 

Bonus Qualifications

  • ​Time working in professional research settings, e.g. government lab or industry. 
  • Implementation of human-robot or human-machine technology in real world setting. 
  • Experience running field studies. 
  • Experience in distributional approaches for machine learning, e.g. optimal transport, diffusion, or flow matching.

 

Years of Work Experience Required  0
Desired Start Date 2/2/2026
Internship Duration 3 Months
Position Keywords Optimal transport, human-AI interaction

Alternate Way to Apply

Send an e-mail to careers@honda-ri.com with the following:
- Subject line including the job number(s) you are applying for 
- Recent CV 
- A cover letter highlighting relevant background (Optional)

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