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  4. Research 3 Month Internship 2022
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Nokia is a global leader in the technologies that connect people and things. Powered by the pioneering work of Bell Labs, our research and innovation division, and Nokia Technologies, we are at the forefront of creating and licensing the technologies that are increasingly at the heart of our connected lives. Nokia Bell Labs is internationally renowned as the birthplace of modern information theory, the transistor, the laser and the UNIX operating system.

Bell Labs' research facility in Cambridge is a leading lab working in the areas of Mobile and Wearable Sensing and Systems, Applied Machine Learning, Social Computing and Internet of Things research.

We have multiple openings for 2022  internships in our Pervasive Systems research department. Students currently enrolled in a PhD or Masters program (Computer Science or Electrical Engineering) are being recruited for the following projects.

Memory Augmentation with Earables

  • Study of the algorithms and methods for human memory augmentation with earables.
  • Skills we are seeking: Multi-modal Sensing (audio, motion), Applied ML, Mobile Systems.

Earable Computing

  • Exploration of the signal processing algorithms with earables to enhance human health, awareness, and hearing.
  • Skills we are seeking: Signal Processing, Multi-modal Sensing, Applied ML, health and wellbeing analytics

Collaborative Edge AI

  • Study of the algorithmic and system challenges for building a collaborative sensing solution with wearables and edge devices for IIoT.
  • Skills we are seeing: Distributed System, Embedded SW, Applied ML.

Battery-less Sensing

  • Exploration of algorithms and system challenges for battery-less sensing and communication.
  • Skills we are seeking: Embedded SW, HW Prototyping, Applied ML.

Federated Learning for Edge AI 

  • Exploration of algorithms and system challenges for federated learning on edge devices.
  • Skills we are seeking: Solid understanding of ML, Knowledge of audio and speech processing.

Compression & Domain Adaptation for Edge AI

  • Exploration of model compression and domain adaptation techniques (training and inferences) for ondevice models.
  • Skills we are seeking: Solid understanding of ML, Knowledge of audio and speech processing.

Applying 

Application Deadline: January 15th, 2022. Applicants will be selected on a rolling basis, internship period is fixed to 3 months, and starting date is flexible.

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