Postdoc: Watermarking AI Speech & Audio

Aalto University Executive Education Oy; Espoo; Hybrid; EUR 43,000 - 51,000; Full time

Benefits offered by this job

Open science & open-source releases

Excellent computing infrastructure

Hybrid work model

Job summary

Aalto University invites applications for a Postdoctoral Researcher in Speech and Language Technology at the DICE department in Espoo, Finland. The project focuses on content-based watermarking for AI-generated audio, with emphasis on robustness, evaluation, and open-source software releases.

You will collaborate with international researchers under Assistant Professor Lauri Juvela and contribute to high-quality publications.

Qualifications

• PhD in speech or audio processing, ML, signal processing, CS or related field.
• Strong experience with deep learning and generative models.
• Programming skills in Python and DL frameworks.

Responsibilities

• Develop deep content-based watermarks for audio.
• Design detection and perceptual quality measures.
• Explore audio content detection, music information retrieval, audio fingerprinting, feature matching in self-supervised representations.
• Integrate watermarking capabilities into diffusion models and neural audio codecs.
• Study embedding watermark information in long-term content such as semantics, duration, or prosody.
• Develop robustness evaluation methods and realistic attack scenarios for watermarks.
• Publish in leading journals/conferences and contribute to open-source releases.

Skills

Doctoral degree in relevant field

Deep learning expertise

Python & DL frameworks

Open science & open-source

Peer-reviewed publishing

International collaboration

English fluency

Supervision experience (adv.)

Education

Doctoral degree in speech or audio processing / ML

Job description

Aalto University invites applications for a Postdoctoral Researcher in Speech and Language Technology at the DICE department in Espoo, Finland. The project focuses on content-based watermarking for AI-generated audio, with emphasis on robustness, evaluation, and open-source software releases.

You will collaborate with international researchers under Assistant Professor Lauri Juvela and contribute to high-quality publications.