DTU Electro
PhD scholarship in Acoustic Signal Processing - DTU Electro
Kongens Lyngby, DanmarkPosted 8 days ago
Full TimeMidDK
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Job Description
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 hear
Key Highlights
- 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 constraints.
- Solid foundations in signal processing and applied mathematics.
Qualifications
Required Qualifications
- Solid foundations in signal processing and applied mathematics.
- Some background in acoustics and/or acoustic signal processing (e. g. array processing, time-frequency analysis, source localization, room or underwater acoustics).
- Experience programming machine learning models (e. g. PyTorch/Jax) and familiarity with spiking-network frameworks (e. g. snnTorch or Norse) or neuromorphic hardware is an advantage.
- An active interest in interdisciplinary work at the intersection of acoustics, machine learning, and neuromorphic engineering.
- You must be fluent in English, both speaking and writing and possess excellent communication skills.
Skills & Technologies
Machine LearningPyTorch
About the Company
DTU Electro
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Job Details
Employment Type
Full Time
Experience Level
Mid
Location
Kongens Lyngby, Danmark
Posted
8 days ago
Country
DK