Research Intern – AI-Based Audio Optimization

Keenfinity Group; Eindhoven; Hybrid; EUR 5,600 - 6,700; Part time

Benefits offered by this job

Internship stipend

Guidance from professionals

Hybrid work option

International team

Job summary

Keenfinity invites a Research Intern to join our international team and work on AI-driven audio optimization for professional conference environments. You will explore data-driven approaches, develop prototypes, and gain hands-on experience in cutting-edge DSP and ML techniques.

The role offers close guidance from seasoned engineers, a flexible hybrid setup with one remote day per week, and an internship allowance of €500–€600 per month based on full-time hours.

Qualifications

• Affinity with Digital Signal Processing (DSP) or audio processing fundamentals.
• Familiar with AI / Machine Learning concepts (e.g. supervised learning, optimization, adaptive systems).
• Experience in programming and algorithm development (Python, C/C++, or MATLAB).
• Enjoys system-level thinking, combining data, algorithms, sensors, and control logic.
• Interested in real-world engineering challenges, ideally within audio or embedded systems.
• Hands-on mindset and enjoys building and testing prototypes.
• Able to work independently, structure work, and clearly communicate results.

Responsibilities

• Understand the problem space by analyzing how professional audio systems are configured and identify key parameters (microphone sensitivity, EQ, echo cancellation, feedback).
• Explore AI and signal-processing techniques for automatic audio optimization.
• Define data strategy and data collection plan from audio signals and room state.
• Design an intelligent automated audio tuning concept (model architecture, features, learning approach).
• Build a proof-of-concept prototype to demonstrate autonomous audio optimization.
• Test performance in real-world conference scenarios (empty vs occupied rooms).
• Assess integration and value within a professional audio ecosystem.

Skills

DSP basics

AI/ML concepts

Programming (Python/C/C++)

System-level thinking

Real-world engineering

Hands-on mindset

Independent work

Tools

MATLAB

Python

C/C++

Job description

Research Intern – AI-Based Audio Optimization

• Intern

At Keenfinity, we are a globally leading provider of innovative and professional security and communication solutions. With over 4,200 employees in over 50 countries worldwide, our ambition is clear: we offer more than just technology – we secure, connect, and amplify the moments that matter in life.

Next to our passion for technology we’re very passionate about our work environment. Based on values such as trust, appreciation, and accountability we all work together to shape the future – boldly, customer-focused and with a strong team spirit.

As a Research Intern, you’ll work on a cutting‑edge challenge at the intersection of audio engineering and AI. Your goal is to help create an intelligent system that automatically optimizes audio performance in professional conference environments.

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

Qualifications

• You have an affinity with Digital Signal Processing (DSP) or audio processing fundamentals
• You are familiar with AI / Machine Learning concepts (e.g. supervised learning, optimization, adaptive systems)
• You have experience in programming and algorithm development (e.g. Python, C/C++, or MATLAB)
• You enjoy system-level thinking, combining data, algorithms, sensors, and control logic
• You’re interested in real-world engineering challenges, ideally within audio or embedded systems
• You have a hands‑on mindset and enjoy building and testing prototypes
• You can work independently, structure your work, and clearly communicate your results

What We Offer

• A hands‑on internship in an international team.
• Close guidance from experienced professionals.
• A dynamic role where your input and ideas are appreciated.
• The option to work from home one day per week.
• An internship allowance between €500 and €600 per month (based on full‑time employment).

At Keenfinity we don’t just build innovative solutions — we shape a smarter, more connected world through technology.

We value different backgrounds, ideas, and experiences and we’re committed to growing, learning, and celebrating success as one team. Everyone is welcome here — we foster an environment where everyone is respected, valued, and encouraged to be their authentic self.

Keenfinity is an equal opportunity employer, offering equal opportunities for all. We welcome applications from people with disabilities and can offer support, if needed. When everyone has a chance to contribute, we all do better.