Working Student AI-enabled Radio Access Networks

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 Strategy & Technology, including Nokia Bell Labs and Nokia Standards, is the 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.

The group for Architecture, Security, and Automation in Nokia Standards, Munich, offers the opportunity for a master student to gain industry experience through working with highly skilled colleagues in a scientific environment and contributing to future-looking projects.

 

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.

 

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
• LGBT+ equality & best place to work by HRC Foundation

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.

Scope of the work 

In Radio Access Networks (RAN), transport block decoding is a fundamental operation with significant resource requirements and tight time constraints. Given today's concepts of RAN disaggregation and virtualization as well as L1 accelerator concepts (e.g., “inline” and “lookaside”), the distributed unit (DU) resource management becomes ever more crucial and also needs to consider energy efficiency requirements.

Now the deployed solutions by the operators are not considering resource management and to respect the time thresholds there are no limitations on resource utilizations. This approach is not scalable and energy greedy. For a more scalbale and less energy-greedy management of resources, the impact of the most relevant environment variables (such as, Signal to Noise Ratio (SNR), Modulation and Coding Rate, Channel Quality Indicator (CQI), Block Error Rate) on resource consumption required for the decoding operation needs to be understood.  The technical objectives of this work hence comprise

1. Using already existing functions of Matlab to study the impact of the environment on the decoders reseource consumption. For each defined environment, the objective would be to obtain the statistics of the decoder, i.e., number of decoding cycles, success ratio, etc.
2. Introducing breakout points to use DPDK decoding capabilities instead of Matlab and also study also the energy consumption. In a next step, these results may be combined in a dataset to further analyze the feasibility of an ML-enabled approach to resource management.

Your skills and experience

We are looking for highly motivated candidates who are enthusiastic about developing breakthrough innovations and participate in cutting-edge research in Nokia. Applicants should fulfill the following qualifications: 

• A bachelor degree in communications engineering, information theory, or computer science with a grade of at least 2.0 (German grade system equivalent), 

• Basic knowledge in communication networks and signal processing  

• Proficiency in relevant programming languages for quantitative evaluations (e.g., Matlab, Python, C), as well as experience in software engineering (e.g. Design Patterns, object oriented programming, etc.) 

• Highly proficient in spoken and written English, 

• Ability to work independently, 

• Ready to collaborate in a diverse team with members of different cultural backgrounds, 

• Willingness and ability to get engaged in novel disruptive research areas, which will require the applicant to learn new skills. 

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.