New opening for a PostDoc or Scientific Collaborator Position in Voice Anti-Spoofing

The Idiap Research Institute seeks qualified candidates for one PostDoc or Scientific Collaborator position in the field of voice/speaker recognition. The research will be conducted in the framework of an Industrial project.

The goal of an automatic speaker recognition system is to authenticate or to identify a person through speech signal, but the objective of the position is to develop novel features and models for anti-spoofing, i.e. countermeasures, to protect speaker recognition systems against spoofing attacks (playback, voice synthesis and voice conversion).

The proposed research will be carried out in the Biometrics group (Dr. Sebastien Marcel -- ) at Idiap, and will rely on previous knowledge and software developed at Idiap, more specifically the Bob toolkit ( ) and Spear ( ).

The ideal candidate should hold a PhD degree in computer science, electrical engineering or related fields. She or he should have a background in statistics or applied mathematics, optimization, linear algebra and signal processing. The applicant should also have strong programming skills and be familiar with Python, C/C++ (MATLAB is not a plus), various scripting languages and with the Linux environment. Knowledge in speech processing and machine learning is an asset. Shortlisted candidate may undergo a series of tests including technical reading and writing in English and programming (in Python and/or C/C++). 

Appointment for the position is for 1 year, provided successful progress and may be renewed depending on funding opportunities. Salary is competitive. Starting date is immediate.

To apply for the position, click on the following link:
PostDoc or Scientific Collaborator Position in Voice Anti-Spoofing