Research Internship in Wearable Intelligence for MedTech
United Kingdom
Nokia
As a technology leader across mobile, fixed and cloud networks, our solutions enable a more productive, sustainable and inclusive world.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.
The team you'll be part of
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.
Pervasive Systems research department studies the forms, intelligence and applications of mobile, IoT, wearable devices. The department’s research objectives include but not limited to:
- Enhancing compute, communication, and thermal efficiency of the next billion smart devices.
- Building data-efficient, distributed robust and automated device intelligence
- Designing collaborative, privacy- preserving, and interactive multi-device systems
What you will learn and contribute to
We have multiple (on-site only) openings for 2024 summer internships in our Pervasive Systems research department. Students currently enrolled in a PhD or Masters program (Computer Science or Electrical Engineering) are being recruited tor the following projects. Multiple positions are available for the following topic.
Wearable Intelligence for MedTech
To explore and develop advanced signal processing and machine learning algorithms for wearable devices, focusing on enhancing health monitoring through on-device machine learning. This work aims to leverage multimodal data to create personalised, efficient, and privacy-preserving healthcare solutions.
What we offer
Nokia offers flexible and hybrid working schemes, 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.
Research experience sought: Any combination of the following areas: (1) data-centric machine learning, (2) multimodal learning, (3) federated learning, (4) foundation models, and (5) large language models (LLMs), with expertise in on-device processing audio, sensor, and time-series data.
Preferred programming skills: Proficiency in Python is essential, with practical experience in Deep Learning frameworks like PyTorch or TensorFlow. Candidates should be skilled in designing, implementing, and evaluating machine learning models, with a strong understanding of best practices in model training, optimisation, deployment, and ensuring efficiency and scalability.
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.
Tags: Computer Science Deep Learning Engineering LLMs Machine Learning ML models Model training PhD Privacy Python PyTorch Research TensorFlow
Perks/benefits: Flex hours
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