Research Intern – AI-Based Audio Optimization

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Description

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. 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 Требования: 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

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