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Research Fellow [Face Biometric Security] #Immediate

Job LocationSingapore
EducationNot Mentioned
SalaryNot Disclosed
IndustryEducation
Functional AreaNot Mentioned
EmploymentTypeFull-time

Job Description

A Research Fellow position is available in the Centre for Integrated Circuits and Systems, School of Electrical Electronic Engineering, Nanyang Technological University, Singapore.The Research Fellow will work on a project to conduct the research on vulnerabilities of existing deep neural network based human biometric (e.g., face recognition) system, propose and evaluate security and privacy attacks (spoofing attacks in particular) and develop new countermeasures (e.g., anti-spoofing) to improve the security and privacy of human-biometric system.The roles of this position include:Work on a project to conduct the research on identifying security weaknesses of existing learning based human-biometric models and their hardware implementationInvestigate and evaluate the security, reliability and privacy vulnerabilities of deep learning hardware accelerators for human-biometric systemEvaluate spoofing attacks with real and fake imposer targets on deep learning based human biometric algorithms and their hardware implementationsPropose and develop effective countermeasures and liveness detection methods against spoofing attacks on deep learning network based human biometric system implementationDesign and implement vision-based anti-spoofing solutions for human biometric authenticationAnalyze, test and evaluate the robustness of the countermeasures in dynamic application scenariosThe work requires expertise and good knowledge in security and privacy analyses, hardware design, machine learning model and digital im processing for development of attacks and countermeasuresPresent and report findings and progress to funding ncy during annual reviewPublish research results in top-tier international conferences and journalsJob Requirements:PhD in Electrical and Electronic Engineering, Computer Engineering or related field1-year research experience in related areas or thesis work related to face recognition anti-spoofing or liveness detection, hardware and system security, deep learning hardware accelerators and adversarial examples, multi-spectral digital im processing algorithms and architecturesExpertise in biometric security and privacy and computer vision.Familiar with and have project experience that involves design and implementation of hardware in FPGA/ASIC platforms.Knowledge in deep neural network models and digital im processingGood publication track record in related areasProficiency in basics of programming langus such as C, C++, Python and MatlabProficiency in popular machine learning frameworks such as caffe, TensorFlow and PyTorchExcellent verbal and written communication skillsMeticulous with data handling, self-motivated and independentWe regret that only shortlisted candidates will be notified.

About Company

About Nanyang Technological University, Singapore
A research-intensive public university, Nanyang Technological University, Singapore (NTU Singapore) has 33,000 undergraduate and postgraduate students in the Engineering, Business, Science, Humanities, Arts, & Social Sciences, and Graduate colleges. It also has a medical school, the Lee Kong Chian School of Medicine, established jointly with Imperial College London.
NTU is also home to world-class autonomous institutes – the National Institute of Education, S Rajaratnam School of International Studies, Earth Observatory of Singapore, and Singapore Centre for Environmental Life Sciences Engineering – and various leading research centres such as the Nanyang Environment & Water Research Institute (NEWRI) and Energy Research Institute @ NTU ([email protected]).
Ranked amongst the world’s top universities by QS, NTU has also been named the world’s top young university for the past seven years. The University’s main campus is frequently listed among the Top 15 most beautiful university campuses in the world and has 57 Green Mark-certified (equivalent to LEED-certified) buildings, of which 95% are certified Green Mark Platinum. Apart from its main campus, NTU also has a campus in Novena, Singapore’s healthcare district.
Under the NTU Smart Campus vision, the University harnesses the power of digital technology and tech-enabled solutions to support better learning and living experiences, the discovery of new knowledge, and the sustainability of resources.
For more information, visit www.ntu.edu.sg

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