PhD Researcher: ML for Acoustics & Sound Field Reconstruction

UNIVERSIDAD POLITECNICA DE MADRID; España; On-site; EUR 28,000 - 32,000; Full time

Job summary

UNIVERSIDAD POLITÉCNICA DE MADRID seeks a predoc researcher to advance machine learning applications in acoustics, signal processing and sound field reconstruction. The role involves developing novel ML techniques and acoustic signal processing methods, with emphasis on microphone array processing and audio capture technologies.

The successful candidate will hold a PhD or equivalent and contribute across physics and engineering domains, with a focus on acoustics software and noise control.

Qualifications

• Skills in acoustics (MSc in acoustics required) and acoustics software.
• Skills in machine learning, deep learning, and noise control.
• PhD or equivalent in Physics and Engineering as required.

Responsibilities

• Conduct research in machine learning for acoustics, signal processing and sound field reconstruction.
• Develop methods for acoustic signal processing.
• Explore audio capture and reproduction implications.

Skills

Acoustics

Machine learning

Deep learning

Noise control

Education

PhD in Physics

PhD in Engineering

Tools

Acoustics software

Microphone array processing

Sound field analysis

Job description

UNIVERSIDAD POLITÉCNICA DE MADRID seeks a predoc researcher to advance machine learning applications in acoustics, signal processing and sound field reconstruction. The role involves developing novel ML techniques and acoustic signal processing methods, with emphasis on microphone array processing and audio capture technologies.

The successful candidate will hold a PhD or equivalent and contribute across physics and engineering domains, with a focus on acoustics software and noise control.