Job Description
Join us in creating the technology that helps the world act together
We are a B2B technology innovation leader pioneering the future where networks meet cloud. At Nokia you will have a positive impact on people’s lives and help build the capabilities needed for a more productive, sustainable, and accessible world.
Be part of a culture built on an inclusive way of working where we are open to your ideas, you are empowered to take risks and are encouraged to be fearless in bringing your authentic self to work.
The team you’ll be part of
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.
Within Bell Labs, the “Optical Systems & Devices Research” lab investigates forward-looking research activities for the preparation of the future optical transport networks that will interconnect data centers, cities and continents. Such networks will be expected to provide ever increasing capacity, flexibility and agility at reduced costs and energy impact.
Responsibilities
What you will learn and contribute to
The future optical fiber communication networks will be more dynamic in routing traffic, choosing signaling schemes and controlling transmit power to enable maximum utilization of existing infrastructure. To achieve this, massive monitoring of various parameters that can affect system performance is required. Then, these data will feed machine learning models to optimize the performance in point-to-point and point-to-multipoint scenarios.
In this internship, you will join a unique worldwide-recognized team to investigate various options for implementing machine learning models as close as possible to optical transponders. Your first task will be to study the research literature to understand the existing solutions. A second task will be to develop machine learning tool for embedded systems (like FPGA) and compare different configurations to further implement one of it in a real hardware environment. Furthermore, you will have the opportunity to participate in lab experiments to evaluate the performance gain and accuracy of the implemented machine learning configuration.
As part of our team, you will:
Qualifications
Your skills and experience
You have:
The researcher position is based in Massy close to a major transportation hub.
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:
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.
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