Working Student - AI model development for 5G/6G baseband design work

Germany

Nokia

As a technology leader across mobile, fixed and cloud networks, our solutions enable a more productive, sustainable and inclusive world.

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Family Description

Corporate Services (AD) consists of executive, professional, and support services in the areas of general administration, facility and real estate management, health, security, and secretarial services as well as external affairs and information services. Comprises other enterprise-wide functions such as trainees.

Subfamily Description

As a Machine Learning Engineer, you will join the Nokia Mobile Network Architecture and Specification team, leveraging the latest advancements in machine learning to reduce energy consumption at the RAN level. You will contribute to various internal Nokia and funded projects, proposing innovative algorithms for the RAN. Additionally, you will communicate your findings internally and externally through presentations and discussions with team members and project stakeholders. We seek an engineer with expertise in machine learning algorithms and a strong understanding of wireless communication, particularly 4G and 5G mobile communication.

What you will learn and contribute to

 

  • Develop machine learning algorithms in Python or C++.
  • Study recent advancements in standardization groups like 3GPP and create algorithms focused on energy efficiency and sustainability.
  • Process key performance indicators and convert measurement data and configuration files into standard formats for machine learning training.
  • Publish results through presentations or publications in group studies or conferences.


 

  • Master's degree in computer science, telecommunications, or a related field.
  • Experience in C++ and Python programming, focusing on using machine learning libraries in Python.
  • Experience with data analytics in Python (pandas, matplotlib,...)
  • Strong knowledge of wireless communication, particularly 5G.
  • Familiarity with MLOps or other pipelining frameworks.
  • Proficiency in supervised learning and deep learning algorithms.

Workplace: Germany, ULM

Work is on site/hybrid
 

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.
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Category: Deep Learning Jobs

Tags: Architecture Computer Science Data Analytics Deep Learning Machine Learning Matplotlib ML models MLOps Pandas Python Security

Perks/benefits: Conferences

Region: Europe
Country: Germany

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