PhD Researcher: Speech & Audio AI & Deepfake Detection

Aalto University Executive Education Oy; Espoo, Helsinki; Hybrid; EUR 32,000 - 38,000; Full time

Job summary

Aalto University invites applications for a Doctoral Researcher in Speech and Language Technology in Espoo, Finland. The role is hybrid, starting January 2027, under the COWAMA project led by Assistant Professor Lauri Juvela.

You will develop methods to detect generated audio content, build datasets, and publish in leading venues while contributing open-source software. Your profile includes a Master’s degree (or near completion), strong Python skills, and interest in deep learning,

Qualifications

• Master’s degree in a relevant field or near completion.
• Strong interest in doctoral research on audio deepfake detection and watermarking.
• Good programming skills, preferably Python.
• Basic knowledge of deep learning and signal processing.
• Interest in working with speech/audio datasets and detector models.
• Motivation to publish scientific articles and contribute to open-source.
• Ability to work independently and in international teams.

Responsibilities

• Detect generated audio content from multiple sources.
• Create diverse datasets of real and generated speech/audio.
• Adapt detector baselines for multi-objective detection.
• Develop explainable and localized detection methods for watermarking and deepfake attribution.
• Study robustness against signal-processing and adversarial attacks.
• Publish research and contribute to open-source software and models.

Skills

Python programming

Deep learning basics

Signal processing basics

Research independence

International collaboration

Academic writing/publishing

Education

Master’s degree (or near completion)

Tools

Python

Git

Job description

Aalto University invites applications for a Doctoral Researcher in Speech and Language Technology in Espoo, Finland. The role is hybrid, starting January 2027, under the COWAMA project led by Assistant Professor Lauri Juvela.

You will develop methods to detect generated audio content, build datasets, and publish in leading venues while contributing open-source software. Your profile includes a Master’s degree (or near completion), strong Python skills, and interest in deep learning,