Face Biometric Scientist

Employment Type:
5G Jobs, IT Jobs
Job Role:
SIM Jobs
Dublin, Cork, Limerick, Waterford, Kilkenny, Derry, Galway, Newry
Mobile Jobs
Job Ref:

As part of the research team you will help design and implement mathematical biometric-based algorithms for use in identity-management systems outlined as follows;

This is an opportunity for a creative problem solver to design and implement human face-based algorithms and related tools;
If you are a talented algorithm developer with a passion for applied face research and biometrics who can design, implement, and optimize biometric algorithms this is an ideal opportunity;
Utilize your experience in face biometrics R&D, image processing, machine learning, computer vision, pattern recognition, statistics, and building mathematical models and algorithms;
Review and adapt state-of-the-art knowledge to code biometric-based solutions for smartphones;

Person Specification:

Experience in implementing and adapting known mathematical algorithms and biometric techniques to solve real-world problems required;
Strong mathematical aptitude, with detailed knowledge of the state-of-the-art techniques employed within the face biometric industry required;
Ability to design, implement, tune and optimize components of biometric detection and tracking, quality assessment, anti-spoofing, feature extraction, modelling, classification, and matching algorithms for use in smartphone-based face biometric solutions;
Significant experience designing and testing algorithms with Matlab, Python, or similar development tools;
Strong C++ skills required;
Algorithm development experience with face biometrics, liveness detection, image processing, and machine learning desirable;
Biometric algorithm related work with Android and iOS smartphones, tablets, and other mobile devices, a bonus;
Strong English communication skills both written and verbal, ability to work on one’s own initiative and meet deadlines;
Proven background in scientific programming and numerical methods ;
Excellent attention to detail.

Experience & Qualifications:

A bachelor's degree (or higher) in Computer Science, Engineering or a Maths related field, or equivalent is required;
Masters or Ph.D level preferred;
5+ years experience in face biometric related areas and software development is preferred.

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