Sunday, 11 December 2011

PhD position Forensic Face Recognition

PhD position Forensic Face Recognition

Specificaties - (uitleg)
Wetenschappelijke disciplineTechniek
Uren40.0 uren per week
Salaris€ 2042 - € 2612
Solliciteer binnen 88 dagen op deze vacature

When comparing a facial image from a crime scene with a police photograph, forensic experts pay attention to morphologic-anthropologic features, following a prescribed protocol. The support for the hypothesis that crime-scene and reference image originate from one individual is expressed in qualitative terms, such as “no support”, “limited sup-port”, “moderate support”, “strong support”, and “very strong support”. Presently a strong effort is being made to replace such a qualitative description by a likelihood ratio, which is a quantitative measure of evidential value that can support the judge in court to make an objective decision.
Biometric face recognition is an automated process, for example used in access control. It does not use morphologic-anthropologic features, but extracts and compares abstract features, resulting in a quantitative similarity score. If this is above a predetermined threshold, the compared faces are accepted as resulting from the same individual.
The NWO project Forensic Face Recognition combines the fields of forensic face comparison and biometric face recognition in order to develop a (partially) automated system for forensic facial comparison that quantifies the evidential value as a likelihood ratio thus supporting the court to make an objective decision. This will be realized by:
1. Automation of the current forensic morphological-anthropological practice.
2. Optimization of biometric face recognition for forensic applications.
3. Computation of likelihood ratios as quantitative evidential value from the above 2 systems.
Topics 1 and 2 will be addressed at the University of Twente. Topic 3 will be addressed at the University of Amsterdam.

The PhD student in Twente will do research on face recognition systems for the forensic domain. For this task, we are looking for a highly motivated researcher with an MSc degree in Electrical Engineering, Computer Science, Mathematics or a related topic, with adequate experimental and theoretical skills. You have knowledge of image processing, pattern recognition, and probability theory. Knowledge in more specific areas such as biometrics will be an advantage. Fluency in English is a requirement. An interview will be part of the selection procedure.

As PhD student, you will be appointed for a period of four years, at the end of which you must have completed a PhD thesis. During this period, you have the opportunity to broaden your knowledge by joining international exchange programs, to participate in national and international conferences and workshops, and to visit other research institutes and universities worldwide.
We offer a full-time PhD position in a dynamic and international environment. The duration of the contracts is four years. The gross salary will range from € 2.042,00 in the first year to € 2.612,00 per month in the fourth year. Additionally, the University of Twente provides excellent facilities for professional and personal development. In addition, we offer a holiday allowance (amounts to 8%) and an end-of-year bonus (amount to 8.3%) and a number of additional benefits. The labour agreements are in accordance with the CAO-NU for Dutch universities.

The University of Twente. We stand for life sciences and technology. High tech and human touch. Education and research that matter. New technology which drives change, innovation and progress in society. The University of Twente is the only campus university in the Netherlands; divided over six faculties we provide more than fifty educational programmes. The University of Twente has a strong focus on personal development and talented researchers are given scope for carrying out pioneering research.

In the Faculty of Electrical Engineering, Mathematics and Computer Science (EWI) is the place where these three disciplines shape Information and Communication Technology at the University of Twente. ICT is more than communication. In almost every product we use mathematics, electronics and computer technology are present, and ICT now contributes to all of societies' activities. It is no longer about gadgets that we do or do not want to use. The real integration of ICT is just beginning. What we need is more intelligence in our systems and improvement of their natural interaction with humans.

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