Visiting Scholar - Kitchener, Canada - OTTO Motors by Rockwell Automation

OTTO Motors by Rockwell Automation

Verified Company

Kitchener, Canada

2 weeks ago

Posted by:

Sophia Lee

beBee Recruiter

Description

Position:
Visiting Scholar

Location:
Kitchener, Ontario

Job Type: 1-3 Year Contract. Sabbaticals welcome.
Experience: 5+ Years of Relevant Experience

Education:
Ph.
D in Computer Science, Engineer, or Equivalent

About OTTO Motors by Rockwell Automation
OTTO was acquired by Rockwell Automation in 2023.

Rockwell is a global industrial automation and digital transformation technology leader focused on helping the world's manufacturers be more productive, sustainable, and agile.

With more than 28,000 employees who make the world better every day, we know we have something special.

Behind our customers - amazing companies that help feed the world, provide life-saving medicine on a global scale, and focus on clean water and green mobility - our people are energized problem solvers that take pride in how the work we do changes the world for the better.

About the job

Your primary responsibilities will be:

Conducting direct R&D in your area of interest
Technical collaboration with and mentorship of R&D contributors
Working as 'internal PI' with academic institutions, including technology transfer, dataset development and sharing, and joint publications
Ensuring that OTTO Motors is well represented as a technology leader in your area of interest, including patents, publications, opensource contributions, and public presentations
Understanding and communicating of technologies and developments in your area of interest which may be applicable to autonomous mobile robotics, including past work and future trends

Required Experience/Skills:

D in Computer Science, Engineering, Applied Physics, Mathematics, or equivalent

Substantial experience independently carrying out R&D as a postdoc, professor, or equivalent, including within a larger organization such as a corporate lab or academic institute
Broad familiarity with navigation, planning, perception, mapping, deep learning, reinforcement learning, generative AI, and similar topics as applicable to autonomous robots
Broad familiarity with key hardware technologies and modalities covering sensing, computation, communication, and actuation
Specific familiarity with one or more of the above fields, with multiple papers published in notable journals or conferences
Familiarity with software development and testing methodologies and tools
Experience presenting and representing your work or organization in public
Handson experience with developing and deploying software for physical robots
Strong experience with C++, Python, and ideally more languages (Lua, Rust, etc)
Strong experience with key libraries such as TensorFlow, PyTorch, Ceres, or OMPL
Reasonable experience with ROS1, ROS 2, Gazebo, CUDA, and ideally more frameworks
Highly proficient with experimental analysis and benchmarking