Summary
The Robotic Interaction Perception and Learning Lab at the University of Waterloo is inviting applications for multiple research positions in robotics, autonomous systems, reinforcement learning, mapping, humanoid robot perception, and emergency response robotics. Openings include Postdoctoral Researcher, PhD, and MASc positions for exciting industry-connected projects involving autonomous mining systems and humanoid robots operating in challenging environments.
Postdoctoral & Graduate Research Opportunities in Robotics at the University of Waterloo
Candidates with strong backgrounds in robotics, computer vision, reinforcement learning, mapping, sensor fusion, and related areas are encouraged to apply.
Summary Table
| Position | Project Area | Number of Openings | Duration | Eligibility |
|---|---|---|---|---|
| Postdoctoral Researcher | Autonomous Mining Systems | 2 | 18 Months | International Applicants Eligible |
| PhD Student | Humanoid Robot Perception for Emergency Response | 1 | As per program | International Applicants Eligible |
| MASc Student | Humanoid Robot Perception for Emergency Response | 1 | As per program | Only Canadian Citizens or Permanent Residents |
Designation
- Postdoctoral Researcher (2 Positions)
- PhD Student (1 Position)
- MASc Student (1 Position)
Research Area
- Robotics
- Reinforcement Learning
- Autonomous Systems
- 3D Mapping and Point Cloud Processing
- Humanoid Robotics
- Localization and Terrain Mapping
- Computer Vision
- Sensor Fusion
- Deep Learning
- State Estimation
Location
University of Waterloo
Project 1: Autonomous Mining System (2 Postdoctoral Positions)
Project Overview
This project focuses on the development of an autonomous mining system using advanced reinforcement learning and robust 3D mapping technologies for operation in challenging subterranean environments. The developed solutions will be deployed at industrial mining facilities, and selected candidates may be required to travel to mining sites.
Areas of Expertise Required
Applicants should have expertise in one of the following:
- Reinforcement Learning for Control
- Point Cloud-Based 3D Mapping
Position Details
- Duration: 1.5 Years (18 Months)
- Expected Start Date: September 2026
Eligibility/Qualification
Applicants should:
- Hold a PhD or be in the final stages of completing a PhD in Engineering, Computer Science, or a related field.
- Demonstrate a strong publication record in leading robotics and AI conferences/journals such as:
- T-RO
- RSS
- ICRA
- IROS
- CVPR
- RA-L
- Have hands-on experience with:
- C++
- Python
- ROS/ROS2
- Linux
- Git
- Possess strong communication and presentation skills.
- Previous mentoring experience of junior researchers will be considered an advantage.
Job Description
Selected candidates will:
- Develop reinforcement learning algorithms for autonomous mining control systems.
- Design robust 3D mapping methods for underground robotic operations.
- Implement and test developed systems at partner mining facilities.
- Collaborate with interdisciplinary research and industrial teams.
Project 2: Humanoid Robot Perception for Emergency Response (1 PhD & 1 MASc)
Project Overview
This project develops localization and terrain mapping methods for bipedal humanoid robots operating in unstructured and emergency-response environments.
Eligibility/Qualification
Desired PhD Student Profile
Candidates should:
- Hold or be near completion of a Master’s degree in Engineering, Computer Science, or related fields.
- Have strong knowledge in at least two of the following:
- Legged Robots
- Computer Vision
- State Estimation
- Sensor Fusion
- Deep Learning
- Possess practical experience with:
- C++
- Python
- ROS/ROS2
- Linux
- Git
- Demonstrate strong communication and project management abilities.
- Previous conference or journal publications are desirable.
Desired MASc Student Profile
Candidates should:
- Hold or be near completion of a Bachelor’s degree in:
- Mechanical Engineering
- Electrical Engineering
- Computer Science
- Related disciplines
- Have prior programming experience in C++ or Python.
- Be familiar with version control tools such as Git.
- Previous publications are considered an advantage.
Note: The MASc position is only open to Canadian Citizens or Permanent Residents. All other positions are open to international applicants.
Job Description
Selected students will:
- Conduct research in humanoid robot localization and terrain mapping.
- Develop perception systems for unstructured environments.
- Work with advanced robotic platforms and sensing technologies.
- Collaborate within a multidisciplinary robotics research team.
How to Apply
Interested applicants should visit the lab website and submit the required application documents:
Robotic Interaction Perception and Learning Lab Application Page
Last Date for Apply
The application deadline has not been specified. Applicants are encouraged to apply as early as possible.
