[robotics-worldwide] [jobs] Programmer/Developer in Machine Learning and Robotics

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[robotics-worldwide] [jobs] Programmer/Developer in Machine Learning and Robotics

Mohammad Ghahramani
Programmer/Developer in Machine Learning and Robotics

RMA Laboratory at Ryerson University, Toronto, Canada

About the employer
The Robotics, Mechatronics and Manufacturing Automation Laboratory (RMAL)
was founded in 1997 and since then has been an active entity of Ryerson
University. We are an interdisciplinary laboratory bringing people and
projects related to Mechanical, Aerospace, Industrial, Biomedical,
Electrical-Computer Engineering, Mechatronics, MEMS, and Computer Science.
Our objective is to design and build in synergistic manner systems for
advancing robotics and manufacturing automation. We take a broad approach
of what constitutes good research and education, all measured by their
industrial and social impact. Our research works span from quite applied to
basic ones. The output from our research includes everything from
ground-breaking papers to ground-breaking prototypes. Our team of
industrial partners, faculty, graduates, and students creates unique
opportunities for furtherance of our education, research and technology
transfer goals. RMAL also welcomes inquiries from companies interested in
participating in our research and development works as industrial members.

Learn more at: www.ryerson.ca/~rmal

Job description:
The opened position for a programmer/developer in robotics and machine
learning is available through NSERC’s I2I program. The project goal is
development and commercialization of a visual learning system for robot
programming by demonstration. The leaning system employs a vision system
for capturing tasks demonstrated by a human expert. The acquired
demonstrated motions are processed and transferred into executable robot
programs, which are utilized for reproduction of the demonstrated tasks by
the robot learner.

Job Duties and Responsibilities:
The candidate is expected to contribute to the project for visual robotic
learning from human demonstrations. He/she will be expected to improve the
existing system for visual learning developed in RMAL. The tasks include:
modification of the current GUI for perception of human demonstrated
motions and execution by a robot, and implementation of robust methods for
trajectories generalization. A Microsoft Kinect sensor will be used for
perception of demonstrated actions. The GUI is created in ROS and in Visual
Studio using C#, and uses Kinect libraries and OpenCV libraries. The
candidate is expected to have knowledge of image features extraction and
tracking, as well as knowledge of machine learning algorithms, which are
going to be used for generalization of human motions. The ideal candidate
should be highly motivated and dedicated to the project. He/she will be
expected to work collaboratively with a postdoctoral fellow, and as a team,
they will put efforts into commercialization of the developed software
package for robotic visual learning.

Desired skills and experience

Qualifications Required
Minimum Qualifications Required:
Bachelor’s degree or a graduate degree in Computer Science
Minimum 3 years experience in programming with C++ or C# or ROS. Strong
background in Machine Learning and Computer Vision
Ability to work independently, and in a team Knowledge in Robotics will be
considered as advantage.

Additional Information:
The position will be for 8 months with the potential for extension, subject
to satisfactory performance and availability of funding.
Anticipated starting date is as soon as possible. Salary is competitive and
depends on the previous experience of the candidate. Preference will be
given to Canadian residents.

Interested individuals please contact Professor Sharifi [fsharifi {@}
ryerson.ca] and provide the following documents:

- Candidate’s CV and contact details
- Contact information of three references
- Academic transcripts
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