PhD Intern: Spatial Audio & AI Lab (Hybrid, Barcelona)

Via Licensing Corporation; Barcelona; Híbrido; EUR 7000 - 10.000; A tiempo parcial

Ventajas ofrecidas por este puesto de trabajo

Hybrid work model

Descripción de la vacante

Dolby Barcelona hosts world-class audio R&D teams focusing on spatial audio, AI, and signal processing. As a Sound Experiences Lab Intern, you will develop cutting-edge AI solutions for spatial audio processing and work with researchers across the team in Barcelona.

The role requires a Master’s degree in a relevant field and enrollment in a PhD program or a track record in research publications; strong Python with DL frameworks is expected.

Formación

• Master's degree in a relevant field is required.
• PhD enrollment in related subjects is a strong plus for the duration of the internship.
• Proven experience in audio signal processing.
• Hands-on experience applying AI to audio applications.
• Proficiency in Python for deep learning frameworks.

Responsabilidades

• Design, implement and train advanced deep learning models for spatial audio processing tasks.
• Prepare and curate high-quality datasets through data augmentation and synthetic data generation.
• Evaluate proposed models against state-of-the-art benchmarks.
• Collaborate with Barcelona's research team on related projects.
• Present research findings and contribute to patent applications/publications.

Conocimientos

Python (deep learning)

Audio signal processing

AI for audio

Deep learning frameworks

Mathematics

Educación

Master's degree in Electrical Engineering/Computer Science/Mathematics/Physics

Enrolled in a PhD program related to audio processing and AI

Descripción del empleo

Dolby Barcelona hosts world-class audio R&D teams focusing on spatial audio, AI, and signal processing. As a Sound Experiences Lab Intern, you will develop cutting-edge AI solutions for spatial audio processing and work with researchers across the team in Barcelona.

The role requires a Master’s degree in a relevant field and enrollment in a PhD program or a track record in research publications; strong Python with DL frameworks is expected.