Multiple Postdoc positions available in deep learning, computer vision and audio processing for s...

Employer
Idiap Research Institute
Location
Switzerland
Posted
September 19 2017
Position Type
Full Time
Organization Type
Academia

The Idiap Research Institute seeks qualified candidates for several postdoctoral position in:


* speaker recognition,


* face presentation attack detection (aka anti-spoofing),


* voice presentation attack detection (aka anti-spoofing).


The goal of a face/speaker recognition system is to authenticate or to identify a person through a face image or voice recording, but the objective of presentation attack detection (aka anti-spoofing, i.e. countermeasures) is to protect face/speaker recognition systems against presentation attacks (photo, video attacks, masks, replay, TTS or Voice Conversion).


The research will be conducted in the framework of an International project and will focus on learning features directly from the raw signal (images or audio) with minimal prior knowledge using deep learning methods (DNNs, CNNs, GANs, LSTMs) and employing them to build more secure face and speaker biometric systems.


The proposed research will be carried out in the Biometrics group (Dr. Sebastien Marcel, http://www.idiap.ch/~marcel ) at Idiap. The research will rely on previous knowledge and softwares developed at Idiap, more specifically Bob toolkit ( http://idiap.github.io/bob/ ).


Reproducible research is a cornerstone of the project. Hence a strong involvement in open source libraries such as Bob are expected.


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, 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 machine learning and more particularly deep learning (TensorFlow, pyTorch or Caffe) 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 each position is for 1 year but may be renewed provided successful progress and depending on funding opportunities. Salary on the first year starts at 80'000 CHF (gross salary). Starting date is in Spring 2018.


For further information, please contact Dr. S├ębastien Marcel ( marcel [at] idiap.ch ).



This job comes from a partnership with Science Magazine and Euraxess