Keenfinity, Research Intern – AI-Based Audio Optimization
- Azienda
- Keenfinity
- Sede
- Eindhoven, Paesi Bassi
- Durata
- Inizio: febbraio 2027
- Indennità
- Retribuzione mensile lorda: tra 500 e 600 euro
- Area professionale
-
Informatica/ICT Engineering Statistica/Data Analysis
Attività
- 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.
Requisiti principali
- 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.
