Task Adaptivity in Autonomous Agents - Honda Research Institute USA

Intern Positions

Currently, HRI-US is offering research and engineering internships to highly qualified and motivated students.  Research interns will work closely with HRI scientists and are encouraged to publish results in academic forums.   For research internship positions, we are looking for candidates with a good publication record and excellent programming skills to join our team. The positions currently listed are for the Spring/Summer 2024.

Task Adaptivity in Autonomous Agents

Your application is being processed

Task Adaptivity in Autonomous Agents

Job Number: P23INT-19
We are seeking a motivated and innovative research intern to work on a project involving robots learning to adapt to new tasks with minimal prior experience. This includes developing and implementing state-of-the-art approaches to enhance adaptability and versatility of robotic systems in the real world.
Ann, Arbor, MI
Duration 3 Months
Position Introduction

​We are seeking a motivated and innovative research intern to work on a project involving robots learning to adapt to new tasks with minimal prior experience. This includes developing and implementing state-of-the-art approaches to enhance adaptability and versatility of robotic systems in the real world.
Key Responsibilities

​During the time of the internship, you are expected to:

  • Explore and develop novel algorithms and techniques that enable robots to adapt and learn new tasks autonomously
  • Implement one or a combination of algorithms involving reinforcement learning, meta-learning, transfer learning, and other similar approaches in simulation
  • Collaborate with a multidisciplinary team of researchers to design and implement cutting-edge solutions.
  • Publish research findings in top-tier conferences and journals
Minimum Qualifications
  • ​Ph.D. candidate in mechanical engineering, electrical engineering, computer science, or similar fields
  • Strong publication record
  • Previous experience in research or projects related to robotics, AI, meta learning, transfer learning, multi-task learning or lifelong learning
  • Excellent programming skills in Python, C++, and experience with popular machine learning frameworks (TensorFlow, PyTorch)
Bonus Qualifications
  • ​Passion for learning new software tools and languages.
  • Proficiency in reinforcement algorithms for multi-agent systems
  • Strong problem-solving skills
  • Excellent communication skills
  • Be able to work independently within a multicultural environment
Years of Work Experience Required:   2~5 years
Position Keywords

​Machine learning, reinforcement learning, meta learning, multi-task learning, transfer learning

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)

Please, do not contact our office to inquiry about your application status.