Ph.D. position in Multimodal Biometric verification on Smartphone
NTNUs Department of Information Security and Communication Technology (www.ntnu.no/iik) invites applications for a fully funded Ph.D. position in Biometrics. The position is based at campus Gjøvik and is also affiliated with NTNUs Center for Cyber and Information Security (CCIS, www.ccis.no). The Department of Information Security and Communication Technology has 80 employees and provides a research intensive academic environment.
The Ph.D. position is funded by the Norwegian Research Council programme IKT PLUSS as part of the SWAN project. The period of employment for the position is 3 years. All successful candidates must be able to secure a residence and work permit in Norway. The position is described below, and further information regarding the SWAN project can be found on the project website https://www.ntnu.edu/iik/swan.
The oobjective of the position is to develop innovative multimodal biometric algorithms addressing the trustworthiness to improve the reliability biometric authentication on smartphone. The exponential growth of smartphone applications has given rise to the new potential applications that also includes the financial transactions. Recent trends in employing biometrics for the financial transactions using the smartphone (e.g. Apple Pay, Google Wallet, etc.) has raised the concerned about the trustworthiness of the biometrics. A possible way to address this challenge is by exploring the multimodal biometrics together with the presentation attack detection scheme.
The Ph.D. student will work on the following main tasks:
- Exploring different algorithms for biometrics (2D face, finger photo and eye) that can address the variability of the biometric data.
- Exploring different Presentation Attack Detection Algorithm for both smartphone (iOS) and personal computer environment.
Qualifications required for the announced position
We seek highly motivated and excellent candidates with a MSc or education at the equivalent level who has
Knowledge of pattern recognition, biometrics, databases, computer networks, and protocols.
Excellent programming skills in C++, Java, iOS and Matlab.
Excellent communication skills - written and oral
Ability to work independently, as well as in team
Furthermore, experience in smartphone phone programming is advantageous.
Applicants who do not master a Scandinavian language must provide evidence of good English language skills, written and spoken. The following tests can be used as such documentation: TOEFL, IELTS or Cambridge Certificate in Advanced English (CAE) or Cambridge Certificate of Proficiency in English (CPE). Minimum scores are:
- TOEFL: 600 (paper-based test), 92 (Internet-based test)
- IELTS: 6.5, with no section lower than 5.5 (only Academic IELTS test accepted)
- CAE/CPE: grade B or A.
This job comes from a partnership with Science Magazine and