2 days ago

Research Intern – AI-Based Audio Optimization

Keenfinity Group

Eindhoven

2 days ago

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Keenfinity is seeking a Research Intern for AI-Based Audio Optimization in Eindhoven, Netherlands. The intern will work on a cutting-edge challenge at the intersection of audio engineering and AI, developing an intelligent system to automatically optimize audio performance in professional conference environments. This is a hybrid internship with an allowance between €500 and €600 per month.

AI-enabledHybridInternshipInternshipDigital Signal ProcessingAudio Processing

Research Intern – AI-Based Audio Optimization

Apply

AI-enabledHybridInternshipInternshipDigital Signal Processing

Salary

Not specified

Work Location

Eindhoven, North Brabant, Netherlands, NL

Work Model

Hybrid: option to work from home one day per week

Employment Type

Internship

Experience Level

Internship

Core Qualifications

Technical (Must-have)

Digital Signal ProcessingAudio ProcessingAIMachine LearningSupervised LearningOptimizationAdaptive SystemsPythonC/C++MATLABAlgorithm DevelopmentSystem-Level ThinkingDataAlgorithmsSensorsControl LogicEmbedded Systems

Soft Skills

Hands-on mindsetIndependenceStructured workCommunication

Key Responsibilities

•Understand the problem space – Analyze how professional audio systems are currently configured and identify key parameters such as microphone sensitivity, equalization, echo cancellation, and feedback suppression
•Explore AI-driven solutions – Research and evaluate AI and signal-processing techniques for automatic audio optimization
•Define data strategy – Identify relevant data sources (e.g. audio signals, acoustic responses, system state, room occupancy) and design a robust data collection approach
•Design intelligent systems – Develop a concept for automated audio tuning, including model architecture, features, and learning approach (rule-based, ML, or hybrid)
•Build a Proof of Concept – Implement and prototype your solution to demonstrate autonomous audio optimization
•Test in real-world scenarios – Evaluate performance in representative conference conditions (empty vs. occupied rooms)
•Assess impact & feasibility – Analyze robustness, practical integration, and added value within a professional audio ecosystem

Research InternAIAudio OptimizationSignal ProcessingMachine LearningInternshipHybridEindhovenEngineering

Core Qualifications

Technical (Must-have)

Soft Skills

Hands-on mindsetIndependenceStructured workCommunication

Key Responsibilities

•Understand the problem space – Analyze how professional audio systems are currently configured and identify key parameters such as microphone sensitivity, equalization, echo cancellation, and feedback suppression

•Explore AI-driven solutions – Research and evaluate AI and signal-processing techniques for automatic audio optimization

•Define data strategy – Identify relevant data sources (e.g. audio signals, acoustic responses, system state, room occupancy) and design a robust data collection approach

•Design intelligent systems – Develop a concept for automated audio tuning, including model architecture, features, and learning approach (rule-based, ML, or hybrid)

•Build a Proof of Concept – Implement and prototype your solution to demonstrate autonomous audio optimization

•Test in real-world scenarios – Evaluate performance in representative conference conditions (empty vs. occupied rooms)

•Assess impact & feasibility – Analyze robustness, practical integration, and added value within a professional audio ecosystem