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

Overview

This project requires exploring machine learning methods to eliminate a rare and distinctive noise, challenging conventional audio interference removal techniques.

In Short

• Explore machine learning methods for noise removal.
• Focus on rare and distinctive audio noise.
• Utilize AutoEncoders or other suitable architectures.
• Design and optimize models for low-end devices.
• Combine audio signal processing with machine learning.
• Project duration is flexible, typically 3-4 months.
• Starting time is flexible.
• Location is Antwerp, Belgium.
• Workplace type is hybrid.

Requirements

• Experience in machine learning.
• Knowledge of audio signal processing.
• Ability to optimize models for limited computational resources.
• Familiarity with AutoEncoders.

Benefits

• Flexible working hours.
• Opportunity to work on innovative projects.
• Hybrid work environment.