Intern - Immersive Media Coding

The Tech behind the role 

XR applications offer visualization and interactivity possibilities that go well beyond what 2D video can offer. Such applications rely on 3D data like point clouds or dynamic meshes and are specialized to the needs of their scenarios: entertainment, communication, automotive, digital twins, medical imaging, remote training etc. Efficient compression, decompression and rendering of the 3D representations is important for enabling high quality 3D experiences for mobile devices. Moving Pictures Experts Group (MPEG) have recently produced various standards for compressing point clouds (V-PCC, G-PCC) or immersive video (MIV), and they are working on new coding technologies for compression of dynamic meshes (V-DMC). At the same time, industry and the academic world are experimenting with AI-based solutions for improved coding tools and 3D representations such as the now extremely popular NeRFs and Gaussian splats. 

Your role

This internship will focus on the exploration of selected AI-approaches for compression, streaming and rendering of 3D representations for XR applications. The intern will join a team of researchers and standardization experts in graphics coding, that is spread on three sites (Belgium, Germany, and Finland).

Further Information

It is remunerated internship.
This opportunity is intended for Ph.D. students.
The start date is flexible, with June 1st as a potential option.
The duration of the internship is six months.

In collaboration with the Immersive Media Coding team, the intern will:

• Review the state-of-the-art in AI-based Graphics Coding.
• Collaborate to the definition of use cases and requirements for the envisaged approach by the team.
• Test state-of-the-art open-source software for relevance and performance.
• collaborate to the design and implementation of a research prototype.

• You are currently enrolled in a Ph.D. in Electrical Engineering or Computer Science Engineering.
• You are Fluent in C, C++, Python, and machine learning and deep learning frameworks such as TensorFlow, Keras or PyTorch.
• You must understand differences between various artificial neural network architectures (CNN, MLP, FNN, GAN, etc.) and their proper applications.
• You are fluent in English.
• You are capable of working both independently and collaboratively within a team.
• You are a clear and effective communicator.
• Your experience with GPU programming (CUDA, Vulkan, or OpenGL) and rendering pipelines is considered an asset.

It would be nice if you have:

• an accepted research paper in a conference.
• good presentation skills.
   

Come create the technology that helps the world act together

Nokia is committed to innovation and technology leadership across mobile, fixed and cloud networks. Your career here will have a positive impact on people’s lives and will help us build the capabilities needed for a more productive, sustainable, and inclusive world.
We challenge ourselves to create an inclusive way of working where we are open to new ideas, empowered to take risks and fearless to bring our authentic selves to work

What we offer
 
Nokia offers continuous learning opportunities, well-being programs to support you mentally and physically, opportunities to join and get supported by employee resource groups, mentoring programs and highly diverse teams with an inclusive culture where people thrive and are empowered.

Nokia is committed to inclusion and is an equal opportunity employer

Nokia has received the following recognitions for its commitment to inclusion & equality:

• One of the World’s Most Ethical Companies by Ethisphere
• Gender-Equality Index by Bloomberg
• Workplace Pride Global Benchmark