Research Scholar in Robotics

4 weeks ago


Kitchener, Ontario, Canada Clearpath Robotics Full time

Position Overview

Title: Visiting Scholar

Location: Kitchener, Ontario

Contract Duration: 1-3 Years. Sabbaticals are encouraged.

Experience Required: Minimum of 5 Years in Relevant Fields

Educational Background: Degree in Computer Science, Engineering, or Equivalent

Company Overview

Clearpath Robotics is at the forefront of autonomous technology, specializing in material handling solutions for manufacturing and warehouse environments. Our autonomous mobile robots (AMRs) are integral to critical operations for leading brands. For further details, please visit our website.

Clearpath Robotics is part of a larger ecosystem focused on industrial automation and digital transformation, dedicated to enhancing productivity, sustainability, and agility in manufacturing. Our team comprises innovative problem solvers committed to making a positive impact.

Role Summary

As the inaugural 'Visiting Scholar' at Clearpath Robotics, you will play a pivotal role in propelling our research and development initiatives. You will engage with the global robotics community and facilitate the transition of R&D projects into tangible products. If you are passionate about applying theoretical research to real-world applications, this position is tailored for you.

Key Responsibilities:

  • Conducting research and development in your specialized area
  • Providing technical collaboration and mentorship
  • Engaging with academic institutions
  • Representing Clearpath Robotics as a leader in technology
  • Communicating and understanding technologies relevant to autonomous mobile robotics

Essential Qualifications:

  • Degree in Computer Science, Engineering, or a related field
  • Proven experience in R&D within a corporate or academic setting
  • Knowledge of navigation, planning, perception, mapping, AI, and related fields
  • Experience in software development for robotic systems
  • Strong proficiency in programming languages such as C++ and Python
  • Familiarity with key libraries including TensorFlow, PyTorch, and others
  • Experience with frameworks like ROS, Gazebo, CUDA, and more
  • Skilled in experimental analysis and benchmarking


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