HRS2026/441-351 PhD in acoustic signal processing

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

Organisation/Company UNIVERSIDAD POLITECNICA DE MADRID Department HRS4R Research Field Engineering » Sound engineering Researcher Profile Recognised Researcher (R2) Positions PhD Positions Application Deadline 4 Nov 2026 - 23:00 (Europe/Madrid) Country Spain Type of Contract Permanent Job Status Full-time Hours Per Week 37,5 Offer Starting Date 22 Oct 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No

Offer Description

Predoctoral researcher. Conduct research in machine learning for acoustics, signal processing and sound field reconstruction.

Requirements

Research Field Physics Education Level PhD or equivalent

Research Field Engineering Education Level PhD or equivalent

Skills/Qualifications

Skills in acoustics (MSc in acoustics required) and acoustics software. Skills in machine learning, deep learning, and noise control.

Specific Requirements

MSc education in acoustics.
Experience in acoustics, microphone array processing, sound field analysis and reconstruction, audio capture and reproduction.
Proven experience in acoustic signal processing
Proven experience in machine learning and deep learning