PhD scholarship in Acoustic Signal Processing - DTU Electro

Official occupation: ph.d., naturvidenskab og teknik. Employment conditions: Almindelige vilkår. Employer CVR: 30060946.

Primary career market

Public Sector, Education & Impact (employer-sector evidence). Are you interested in developing event-driven, energy-efficient methods for processing real-world acoustic signals, grounded in the physics of sound and the computational principles of biological hearing? As our new colleague, you will help pioneer novel applications of neuromorphic computation in acoustics.

By combining spiking neural networks, event-driven sensing, and classical acoustic signal processing, you will contribute to the development of next-generation acoustic sensing systems. You will push the boundaries of:

• - Continuous-time and sparse representations, exploiting the temporal structure of acoustic fields through event-driven and spike-based encodings rather than uniformly sampled frames.
• - Auditory front-ends, inspired by cochlear processing and spike-based wavelet decompositions.
• - Hardware realization, deploying always-on, low-power acoustic sensing solutions on mixed-signal and neuromorphic hardware platforms.
• - Acoustic perception and scene analysis, addressing challenges such as source localization, detection, and classification using microphone arrays under stringent power and latency constraints1 …