[robotics-worldwide] [Jobs] Human activity recognition for home robots in Vancouver, Canada (Post-Doc)

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[robotics-worldwide] [Jobs] Human activity recognition for home robots in Vancouver, Canada (Post-Doc)

Angelica Lim-3
Come do robotics in beautiful Vancouver, British Columbia, Canada! Do you have experience with ROS? Are you interested in building robots that help people? Join us in an exciting project jointly sponsored by the SFU Rosie Lab and JDQ Systems Inc.

We are building a robot to help caregivers in a home for the Developmental Disabilities Association. One of the tasks that our clients have asked to automate is the recognition of various movements and activities, such as sitting, standing, laying on the floor, exercising, eating, etc. to better track the progress of residents in a group home. You will have access to working with a robot on-site, with real data and real clients.

The project involves:
- Understanding the use case defined by the client and partner JDQ systems
- Developing algorithms and code to implement activity recognition using available sensor input, such as 3D camera, 2D camera, LIDAR, location of robot
- Integrating the activity recognition module with an existing robot (running ROS), already equipped with user identification and SLAM systems
- Running demonstrations of the activity recognition module running in real-time

Following the deliverable to the client, you will be given the time and opportunity to write up the results in a publication, particularly noting the in-the-wild aspect. Depending on the progress of the project, there is a possibility for extension of the position to further identify mental states, such as playing, sleeping, fallen and needs help, etc.

Your profile:
- You are currently enrolled in or hold a Ph.D. in Computer Science or related discipline
- You have good experience with ROS
- Ability to code elegantly in Python or C++
- Background in machine learning and/or signal processing
- Experience with computer vision or multimodal recognition techniques
- A commitment to building robust, real-time systems and making systems that work
- You have a team-oriented attitude, and want to build robots that help people

Time period: January 2018 - July 2018 (flexible), with possibility of a 1 year extension
To apply: Complete the application form at https://urldefense.proofpoint.com/v2/url?u=https-3A__www.rosielab.ca_join-2Dus&d=DwICaQ&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=Ozx8qYpv2X4uOlb-kRw9BAZpsY5kdJKaCsEWTQmcXSY&s=9H43ITbkmXMRGgnIAqBe_N5Mf515gSK3OPEuAxeE18U&e=

Angelica Lim, Ph.D.
Asst. Professor of Professional Practice
School of Computing Science
Simon Fraser University
www.rosielab.ca
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