Spatial computing/communications Intern
Nokia
Number of Position(s): 2
Duration: 10 Weeks
Date: June to August, 2026
Location: Onsite, in Murray Hill, New Jersey.
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 the USA.
- Flexible and hybrid working schemes to balance study, work, and life
- Professional development events and networking opportunities
- Well-being programs, including Personal Support Service 24/7 - a confidential support channel open to all Nokia employees and their families in challenging situations
- Opportunities to join Nokia Employee Resource Groups (NERGs) and build connections across the organization
- Employee Growth Solutions, mentorship programs, and coaching support for your career development
- A learning environment that fosters both personal growth and professional development – for your role and beyond
Join Nokia Bell Labs' Modeling and Optimization Group within the AI Research Lab and explore how AI agents can understand and interact with the physical world. In this role, you'll contribute to groundbreaking research in 3D modeling, spatial computing, semantic communications, computer vision, and the application of language models to physical spaces. Working alongside leading researchers, you'll help translate fundamental insights into innovations that advance Nokia's next-generation intelligent systems.
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.
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.