Spatial Computing Research Intern

Hungary

Nokia

As a technology leader across mobile, fixed and cloud networks, our solutions enable a more productive, sustainable and inclusive world.

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The team you'll be part of 

Nokia Bell Labs

It is the world-renowned research arm of Nokia, having invented many of the foundational technologies that underpin information and communications networks and all digital devices and systems. This research has produced ten Nobel Prizes, five Turing Awards, and numerous other awards. The Semantic Reasoning & Understanding Department is part of the AI Research Lab, which has a long tradition of excellence in research and currently consists of more than 80 staff members with expertise ranging from computer science to experimental condensed matter physics.

Semantic Reasoning & Understanding Department

Industrial metaverses in the AR space bring the promise to make work safer/more secure and increase the efficiency/throughput of industrial processes in the industry 4.0 enterprises. Recent advances in a wide range of technologies like computer vision, computational photography, neural rendering, scene reconstruction, computational imaging, visual-inertial odometry, sensor fusion for physical state estimation, mapping and localization, language grounding, interaction technologies, are set to achieve the goal of a safer/more efficient enterprises. In this context, the Semantic Reasoning and Understanding group at Nokia Bell Labs develops the fundamental algorithms and technological enablers in in the field of visual, inertial and radio-based localization, both in indoor and outdoor environments. We augmented our approaches by the semantic understanding of the environment in order to increase the accuracy and reliability of the localization. We build advanced semantic reconstruction of industrial and enterprise spaces towards building their always up-to-date digital twins. Finally, since in the context of the metaverse the human-machine interaction techniques are fundamentally transformed, we look at novel ways to interact with everyday objects in an AR metaverse. Next to the research angle our group performs development in the context of accelerating the transformation of AI-centered research proof of concepts into fully functional research prototypes, in the attempt to make them transferrable towards our business units.

Your responsibilities

As part of our team, you will contribute to applied research through:

  • Close cooperation with top researchers in the areas of interest through daily interaction, representing a unique opportunity for continuous learning
  • Learning and implementing state-of-the-art AI and computer vision algorithms
  • Integrating and adapting AI models into research prototypes 
  • Participating in the creation of scientific papers, invention reports
  • Presenting ideas/results from your activities to researchers, to the leadership team and to business units 

Your skills and experience 

General qualifications 

  • Enrolled in a PhD or MSc program in electrical engineering, computer science, mathematics, physics, or another related field 
  • Good theoretical knowledge in machine learning/deep learning technology fundaments
  • Hands-on skills and proven record of experience with deep learning frameworks (Tensorflow, pytorch, keras or other)
  • Hands-on skills on traditional Image/ video processing (e.g. using OpenCV or similar proven technologies)
  • Ability to solve complex problems, analytical mindset, proactiveness and can-do attitude

Specific qualifications (would be nice to have any subset of the following): 

  • Experience with neural reconstruction (NeRF technologies and/or Gaussian splatting)
  • Background and interest in semantic 3D reconstruction 
  • Experience with simultaneous localization and mapping, visual positioning, camera calibration
  • Interest and skills in building /programming small robots
  • Advanced rendering/image synthesis technologies
  • Excellent software development skills, primarily in Python and C++
  • Fluency in English, both written and spoken, excellent presentation skills
  • Background and interest in reinforcement learning for autonomous agents

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

At Nokia, we act inclusively and respect the uniqueness of people. Nokia’s employment decisions are made regardless of race, color, national or ethnic origin, religion, gender, sexual orientation, gender identity or expression, age, marital status, disability, protected veteran status or other characteristics protected by law.
We are committed to a culture of inclusion built upon our core value of respect.

Join us and be part of a company where you will feel included and empowered to succeed.
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Job stats:  15  3  0
Category: Research Jobs

Tags: 3D Reconstruction Computer Science Computer Vision Deep Learning Engineering Industrial Keras Machine Learning Mathematics NeRFs OpenCV PhD Physics Python PyTorch Reinforcement Learning Research SLAM TensorFlow

Perks/benefits: Career development Team events

Region: Europe
Country: Hungary

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