PhD 1: Combining evidence in legal (forensic) casework
This PhD research in Forensic Statistics aims at developing statistical techniques to determine the evidential value of Forensic Face Recognition. 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. 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.
Requirements PhD 1:
The PhD candidate should be interested in applied and mathematical statistics, in biometrics, and in the legal domain. The candidate should have a Master’s degree in mathematics, in statistics, or in a field like biometrics, econometrics, or psychometrics.
The full-time appointment will be on a temporary basis for a maximum period of four years (18 months plus a further 30 months after a positive evaluation) and should lead to a dissertation (PhD thesis). An educational plan will be drafted that includes attendance of courses and (international) meetings. The successful applicant will be working under the supervision of prof. dr. M. Sjerps at UvA / NFI and of prof. dr. R. Meester at VU. (PhD 1); prof. dr Chris A.J. Klaassen (UvA) in collaboration with dr ir Raymond Veldhuis (UT) and dr Arnout Ruifrok (NFI) (PhD 2).
Faculty of Science
Korteweg-de Vries Institute
Further information PhD 1:
For further information, please contact prof. dr. Chris A.J. Klaassen at