🚀 Internship
Cambridge Human Sensing BL Intern
Nokia
12d ago
Cambridge
Description
Nokia Bell Labs 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 nine Nobel Prizes, five Turing Awards and numerous other awards.
The Data and Devices Group aims to develop the devices and AI that will seamlessly integrate the physical world and human physiology into the future network of everything. We develop innovative materials, devices, and machine learning techniques that can continuously and non-invasively interface, sense, and actuate the physical world. We emphasize individual creativity and value both fundamental research contributions and advances that could potentially expand Nokia’s human-centric product offerings.
Area of Responsibilities
Responsibilities
You will have the opportunity to take on cutting-edge research projects with our highly collaborative cross-disciplinary team. Depending on your interests, in this internship you will…
- Have the opportunity to file patents and writeup your work in academic conferences/journals
- Develop AI and signal processing solutions for Bell Lab’s custom wearable multimodal sensor platform, including conducting pilot studies on animal and/or human subjects
- Explore applications leveraging continuous sensing of internal body sounds, such as continual stress monitoring, dietary monitoring, and early illness detection.
- Prototype and develop novel smart glasses devices and related audio processing algorithms for user input
Requirements
Currently a candidate for bachelor’s, master's, or PhD degree or diploma in Computer Science, Electrical Engineering, Mathematics, Physics, or related field.
You have:
- Willingness to contribute with creative, out-of-the-box solutions, to problems arising in a dynamic environment
- Overall GPA of 3.25/4.0 or above
It would be nice if you:
- Experience in data analytics and/or time-series AI techniques
- Hardware prototyping experience, including circuit design and debugging
- Experience conducting human and/or animal research studies
- Experience with audio signal processing technique