The Position

Additive Design and Manufacturing Systems Laboratory has an immediate vacancy for a Postdoctoral fellow or a research associate in serial robotics and industrial automation. Candidates with experience in the Robot Operating System (ROS) or PLC based control of robotic arms will be preferred.

This position will be open to candidates who possess an undergraduate degree in Electrical Engineering, Computer Engineering, Mechatronics Engineering, Computer Science, or a relevant discipline, and a Ph.D. in the area of serial robotics, advanced robotic manufacturing automation, or additive manufacturing.

The position is currently vacant and available for an immediate start. The applications will be reviewed in the order received, and the position will remain open until filled. The contract's initial term will be one year, extending depending on the contract's continuation, individual performance, and funding availability. The salary will be commensurate to the experience.

Required Qualifications

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

• Experience in robotic automation, specifically with respect to serial robotic arms through robotics software framework Robot Operating System (ROS), PLC based automation, or a similar robotic process automation environment.
• Experience in system integration (software and hardware) of robotic systems and various system components and sensing systems
• Proven experience (projects) in C/C++. and Python programming languages, software, and build environments

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
• Experience with Cmake and Catkin

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 (and following COVID-19 mandated restrictions). The candidate should also be willing and eligible to travel to other provinces or internationally as per the project needs, following COVID-19 mandated restrictions noted by the University of Alberta and the Governments of Alberta and Canada.

The Project

The candidate's primary responsibility will be to research and develop large-scale industrial robotic automation platforms and automated robotic manufacturing cells for industry 4.0 automation solutions for the energy, mining, space, and automotive industries.

The scope of the project includes the following tasks for the design and manufacturing of components:

• Robotic arm trajectory control for advanced manufacturing processes
• Integration of various sensing technologies with the robot 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

Application Procedure

The application may be submitted through an online submission process by accessing the link given below:

https://forms.gle/AjjmeGDjX3LLXFge7

The candidates will be asked to fill an online form and upload the following PDF files:

i) A cover letter explaining how your experience and expertise in robotics is a good fit for fulfilling the primary job responsibilities

ii) A detailed curriculum vitae highlighting areas of research, a list of publications, awards, and honors, and a list of three professional references

The review of applications will begin immediately, and applications will be accepted until the position has been filled.

Interested candidates should use ADAMS772217PDF as the job competition number in the online form. For more information about the position, you may contact Ahmed Qureshi at ajquresh@ualberta.ca

We thank all applicants for their interest; however, only those short-listed will be contacted.

COVID-19 Vaccination: Proof of full vaccination against COVID-19 in compliance with the University’s COVID-19 Vaccination Directive. Fully Vaccinated means a status an individual achieves 14 days after having received the recommended number of doses of a COVID-19 vaccine approved by Health Canada or the World Health Organization, and requires the individual to maintain the recommended number and type of vaccine doses as updated and required by Health Canada thereafter.