Why host an info session with Co-operative Education & Career Action (CECA) at UWaterloo?
Changes in the schedule may occur, so please check back on day of event for most current information.
Employer Information Session Details
|Employer:||Huawei Canada - CV&HCI, IoV team|
|Date:||Thursday September 19, 2019|
|Time:||11:30 AM - 1:30 PM|
|Location:||Fed Hall - Columbia Room A & B|
|Student Level: Masters, Junior, PhD, Senior, Intermediate |
Student Type: Co-op and Graduating
|Are you ready to ignite your journey with Huawei? Join us for an information session to find your perfect fit at Huawei. You will experience interactive 1v1 conversations with technical professionals, industry insights and networking opportunity to discover where a career at Huawei can take you.|
Attending team: Noah's Ark lab
The Noah's Ark Lab is the AI research team of Huawei Technologies with offices in Toronto, Montreal, Shenzhen, Hong Kong and several other cities. The mission of the Lab is to make significant contributions to both the company and the society through innovations in artificial intelligence. Guided by long term goals and big impact projects, researchers in the lab try to advance the state of the art in AI and its application through broad collaboration within the company and with the global research community at each stage of the innovation process.
Founded in 2012, the Lab has grown to cover research areas including fundamental algorithms, speech & language processing, recommendation & search, computer vision, decision making & reasoning, as well as human computer interaction. Application areas supported by the Lab's research include communication network control, autonomous driving, dialog systems, machine translation, recommender systems, technical support automation, AI-powered photography, video surveillance, robotics, and human computer interaction.
Working location: Toronto, Shenzhen, Hong Kong
Student type: Scholars & recent graduates & current student(co-op/internship)
Student level: Bachelor, Masters, PhD
Intended for: STEM discipline
Opening position area:
- Computer Vision/Graphics
- Human-Computer Interaction
- Machine Learning & Data Mining
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