Physical AI Co-op/Intern

Description du poste:

Number of Position(s): 1
Duration: 4 Months
Date: April 27th to August 28th, 2026
Location: On-site, in Ottawa, Canada.

EDUCATIONAL RECOMMENDATIONS
Currently a candidate for a PhD, Master's, or Bachelor's degree in Computer Science, Electrical Engineering, Mathematics, or a related field with an accredited school in Canada.

As part of our team, you will:

You will work with our research team to conduct high-quality fundamental studies and translate discoveries into impactful Nokia applications.

Likely focus areas include:
* Advancing 3D modeling techniques for realistic representation and simulation of complex environments.
* Exploring spatial computing methods to enable context-aware interaction between physical and digital spaces.
* Investigating semantic communication frameworks for efficient knowledge transfer and interpretation.
* Developing computer vision algorithms for scene interpretation, object recognition, and spatial reasoning.
* Applying large language models to interpret, describe, and interact with physical spaces and objects

Profil requis du candidat:

* Proficiency in spatial computing techniques, including Gaussian Splatting.
* Hands-on experience in a computer vision project.
* Strong coding skills with a focus on high-quality, maintainable code.
* Collaborative mindset and experience working in a large team environment.
Nice-To-Have:
* Familiarity with large language models and their applications.
* Experience in machine learning algorithms related to computer vision.
* Exposure to software development best practices and methodologies