Postdoc: Watermark AI Audio & Speech Tech

Aalto; Espoo; Hybrid; EUR 40,000 - 54,000; Full time

Job summary

Aalto University in Espoo, Finland, invites applications for a Postdoctoral Researcher in Speech and Language Technology to work on the COWAMA project focused on content-based watermarking for AI-generated audio.

The role involves developing robust watermarking methods, evaluating robustness, and contributing to open-source software while collaborating with international researchers. Hybrid work model at Otaniemi Campus, Helsinki region.

Qualifications

• Doctoral degree (or close to completion) in speech/audio processing, ML, signal processing, or related field.
• Strong experience with deep learning and generative models.
• Programming in Python and ML frameworks.

Responsibilities

• Develop deep content-based audio watermarking methods for generated speech and audio.
• Design detection methods and perceptual quality measures for reference-free cases.
• Integrate watermarking into deep audio generative models and diffusion-based systems.
• Publish results in leading venues and contribute to open-source software.

Skills

Deep learning

Generative models

Python

English fluency

Education

Doctoral degree

Job description

Aalto University in Espoo, Finland, invites applications for a Postdoctoral Researcher in Speech and Language Technology to work on the COWAMA project focused on content-based watermarking for AI-generated audio.

The role involves developing robust watermarking methods, evaluating robustness, and contributing to open-source software while collaborating with international researchers. Hybrid work model at Otaniemi Campus, Helsinki region.