ūüöÄ Internship

Research Internship - Pervasive Systems

Nokia

‚ÄĘ

28d ago

ūüöÄ Summer Internship

Cambridge

Rolling basis

Description

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.

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Area of Responsibilities

Research & Development
Engineering

Responsibilities

COMPUTING ON & AROUND THE BODY

Exploration of the signal processing and machine learning algorithms with wearables to manage health (e.g., monitoring vital signs), improve personal awareness and enhance human hearing.

SKILLS SOUGHT: Sensor Signal Processing, Machine Learning, Embedded Systems.

 

COLLABORATIVE EDGE SYSTEMS

Study of the algorithmic and system challenges for building collaborative sensing solutions with wearables and edge devices for sensory applications including mobile health, video analytics, and IoT.

SKILLS SOUGHT: Distributed Systems, Embedded SW, Applied ML.

 

MACHINE LEARNING FOR THE EDGE

Exploration of algorithms and system challenges for data-efficient machine learning on heterogenous edge devices. Topics of interest include, but are not limited to self-supervised learning, federated learning, model adaptation and privacy-preserving ML.

SKILLS SOUGHT:  Solid understanding of ML, Knowledge of audio, speech, vision, and sensor data processing.

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Requirements

COMPUTING ON & AROUND THE BODY

SKILLS SOUGHT: Sensor Signal Processing, Machine Learning, Embedded Systems.

 

COLLABORATIVE EDGE SYSTEMS

SKILLS SOUGHT: Distributed Systems, Embedded SW, Applied ML.

 

MACHINE LEARNING FOR THE EDGE

SKILLS SOUGHT:  Solid understanding of ML, Knowledge of audio, speech, vision, and sensor data processing.

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