Bell Labs Internship on Machine Learning for Specialized Audio Noise Reduction (PhD)

Belgium

Nokia

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Most noise removal techniques target common audio interference. However, this project requires a different approach: exploring how to eliminate a rare and distinctive noise to challenge conventional methods.

The goal is to explore machine learning methods, such as AutoEncoders or other suitable architectures, to develop models capable of isolating and eliminating this rare noise. You will design and optimize these models for use on low-end devices, similar to mobile phones, where computational resources are limited.

This project combines the precision of audio signal processing with the creativity and scalability of machine learning, pushing the boundaries of common understanding.
 

Duration: flexible, to be agreed (typically 3-4 months), starting time is flexible

Location: Antwerp (Belgium) 

Your tasks and hat you’ll gain

  • You will design and optimize these AutoEncoder models for use on low-end devices, similar to mobile phones.
  • Experience solving specialized challenges in audio processing using cutting-edge ML techniques.
  • Hands-on expertise in building and optimizing ML models for constrained environments, like mobile devices.
  • You evaluate and benchmark techniques in the context of specific requirements.

 

  • Student enrolled in Ph.D. Computer Science/Engineering in Machine Learning, Signal Processing or related
  • Proficiency in Python and/or Rust and familiarity with ML libraries
  • Language skills: English
  • Ability to analyze noise patterns and develop innovative strategies to address them.
  • Willing to learn new tools that typically live outside the scope of ML tasks.
  • A strong publication record is also a big plus.

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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Tags: Architecture Computer Science Engineering Machine Learning ML models PhD Python Rust

Perks/benefits: Flex hours

Region: Europe
Country: Belgium

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