United Kingdom
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 Future Devices, Mobile Sensing and Systems, Embedded Machine Learning, and Internet of Things research. We have multiple openings for multiple Research Scientists in the Pervasive Systems research department. The department studies the forms, intelligence, and applications of mobile, IoT, wearable devices. Our research objectives include but are 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
Redefining cross-device and multi-modal UX for spatiotemporal interaction with people, places, and things
HOW YOU WILL CONTRIBUTE AND WHAT YOU WILL LEARN
Are you passionate about solving problems? As part of our team, you will: Carry out ground-breaking research in the areas of Device Intelligence with focus on any combination of the following areas for creating both theoretical innovations and novel practical implementations: (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. Publish research for the major research publications worldwide. Propose new innovations and generate device-related patents to help continuing Nokia’s leadership in intellectual property on devices and devices related technologies. Keep an active and visible role in the research community through conference committees and reviewing panels. Create and maintain strong collaborative associations with university-based researchers. KEY SKILLS AND EXPERIENCE
A Ph.D. in Computer Science or Electrical & Electronic Engineering, with a strong emphasis on multimodal sensing and machine learning research; PostDoc experience is advantageous. Expertise in Python is required, with hands-on experience using Deep Learning frameworks such as PyTorch or TensorFlow. Proven ability to design, implement, and evaluate machine learning models, alongside a deep understanding of best practices for model training, optimization, deployment, and ensuring scalability and efficiency. Solid knowledge of sensory signal processing and advanced machine learning techniques. Familiarity with mobile and embedded operating systems, complemented by practical experience in mobile application development frameworks. A strong research background demonstrated through publications in top-tier journals and conferences in Machine Learning and Mobile Computing, such as CML, ICLR, NeurIPS, MobiSys, MobiCom, UbiComp, etc. Excellent written and verbal communication skills. Capability to conduct independent, high-quality research. About Us
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. Job Info
Job Category: Pure Research Posting Date: 12/12/2024, 07:03 PM
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Are you passionate about solving problems? As part of our team, you will: Carry out ground-breaking research in the areas of Device Intelligence with focus on any combination of the following areas for creating both theoretical innovations and novel practical implementations: (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. Publish research for the major research publications worldwide. Propose new innovations and generate device-related patents to help continuing Nokia’s leadership in intellectual property on devices and devices related technologies. Keep an active and visible role in the research community through conference committees and reviewing panels. Create and maintain strong collaborative associations with university-based researchers. KEY SKILLS AND EXPERIENCE
A Ph.D. in Computer Science or Electrical & Electronic Engineering, with a strong emphasis on multimodal sensing and machine learning research; PostDoc experience is advantageous. Expertise in Python is required, with hands-on experience using Deep Learning frameworks such as PyTorch or TensorFlow. Proven ability to design, implement, and evaluate machine learning models, alongside a deep understanding of best practices for model training, optimization, deployment, and ensuring scalability and efficiency. Solid knowledge of sensory signal processing and advanced machine learning techniques. Familiarity with mobile and embedded operating systems, complemented by practical experience in mobile application development frameworks. A strong research background demonstrated through publications in top-tier journals and conferences in Machine Learning and Mobile Computing, such as CML, ICLR, NeurIPS, MobiSys, MobiCom, UbiComp, etc. Excellent written and verbal communication skills. Capability to conduct independent, high-quality research. About Us
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. Job Info
Job Category: Pure Research Posting Date: 12/12/2024, 07:03 PM
#J-18808-Ljbffr
