Postdoctoral Position

at  University of Alberta

Department Faculty of Engineering - Mechanical Engineering Dept
Posted date January 10, 2022
Closing date Will remain open until filled.
Position Type Full Time

REQUIRED QUALIFICATIONS

The ideal candidate will possess expertise and experience in the following areas demonstrated through research or thesis work or professional experience:

• Proven experience with the robotics software framework Robot Operating System (ROS), preferably in ROS-industrial, MoveIt!, RViz, and its application to serial robots.
• Experience in system integration (software and hardware) of robotic systems and various system components and sensing systems
• Previous demonstrated experience in working on robotic experimental research and development projects
• Proven experience (projects) in the following programming languages, software and build environments: C/C++, Python, cmake, catkin

PREFERRED QUALIFICATIONS

In addition to the above requirements, candidates with experience in the following areas will be given priority:

• Experience in working with additive manufacturing systems (in particular robotic WAAM or laser DED)
• Experience with programming Motoman and/or ABB robots, including interfacing with ROS
• Machine learning (OpenAI or PyTorch)

The successful candidate will be required to work independently and demonstrate excellent verbal and written English communication skills through high-quality journal publications in the research area. The candidate will also be involved in developing research grant proposals, research management, and the co-supervision of graduate students. The candidate should possess or be eligible to apply for a valid driver’s license and will be expected to travel within the city and Alberta as per the project requirements. The candidate should also be willing and eligible to travel to other provinces or internationally as per the project needs.

• Integration (software and hardware) of various sensing technologies with the existing robotic WAAM and platform and software toolchain for data collection, analysis, and real-time control
• Process planning and tool path planning for experimental builds, including software development for process planning and build execution
• Development, design, and implementation of software feature extensions to facilitate the testing of novel process optimization, estimation and control strategies
• Design develop and implement next-generation hybrid robotic additive manufacturing system