Two PostDoc positions on machine learning for secured face recognition at the Idiap research institute

The Idiap Research Institute seeks qualified candidates for Two PostDoc position in the field of face presentation attack detection (aka anti-spoofing). The research will be conducted in the framework of an International project.
The goal of a face recognition system is to authenticate or to identify a person through a face image, but the objective of the position is to develop novel features and models for presentation attack detection (aka anti-spoofing, i.e. countermeasures), to protect face recognition systems against presentation attacks (photo, video attacks or masks).
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 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 2017.
Apply online here:
http://www.idiap.ch/webapps/jobs/ors/applicant/pos...