Apprenticeship Layer 2 analysis within our CFAM studies
France
Nokia
As a technology leader across mobile, fixed and cloud networks, our solutions enable a more productive, sustainable and inclusive world.Nokia is a global leader in technologies that connect people and devices. With cutting-edge software, hardware, and services for all types of networks, Nokia is uniquely positioned to enable communication service providers, governments, and large enterprises to fulfill the potential of 5G, the Cloud, and the Internet of Things.
With customers in over 100 countries, our research scientists and engineers consistently innovate and advance new technologies that are revolutionizing the way people and devices communicate and connect.
Join a team of telecommunications experts and help us improve current and future technologies. To deliver innovative solutions, it is essential to evaluate the performance impact and computational cost of new ideas. You will participate in the development of simulation tools to analyze such scenarios, with a focus on scheduling (L2).
As part of our team, you will:
- Leverage various inputs (algorithms, 3GPP, and Nokia specifications) to enhance existing tools.
- Contribute to the development of models for advanced scheduling topics.
- Collaborate with field experts to discuss and evaluate new solutions.
- Assist in visualizing complex data to assess the performance of new ideas across diverse scenarios and benchmark them against state-of-the-art solutions.
- Develop models for UE intra-cell and inter-cell mobility.
Investigate solutions for representing beam management and beamforming
Education Recommendations
Currently pursuing a degree (preferably a Master of Science degree) in Computer Science, Communications Engineering, Applied Mathematics or similar from an accredited University / National College of Engineering (École Nationale Supérieure d'Ingénieurs) in France or equivalent in Europe.
Your skills and experience
You have:
- Strong foundation in optical telecommunications and/or signal processing.
- Knowledge of mobile network behaviors and protocols.
- Hands-on experience with Python 3 programming for data science.
- Proficient in data analytics.
- Experience with Node.js, Django, and React is a plus.
- Innovative and self-driven, capable of working effectively in a team environment and promoting collaborative experiences.
- Proficient in spoken and written technical English.
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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Computer Science Data Analytics Django Engineering Mathematics Node.js Python React Research
Perks/benefits: Career development
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