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PhD student position on Forensic Bayesian networks, Groningen & Utrecht (The Netherlands), Deadline: 15 Jan 2012
PhD positions Forensic Science (2,0 fte)
Job description
These two PhD positions are part of the project "Designing and
Understanding Forensic Bayesian Networks with Arguments and Scenarios"
that is funded by the Netherlands Institute for Scientific Research in the
Forensic Science program (www.nwo.nl/forensicscience). The project is a
cooperation of the University of Groningen (Department of Artificial
Intelligence) and Utrecht University (Department of Information and
Computing Sciences) supported by partners from forensic legal practice.
In order to prevent miscarriages of justice such as the infamous Lucia de
Berk case, the communication between forensic statisticians, crime
investigators and lawyers about statistical evidence should be improved.
It is well-known that lawyers and other non-experts in statistics often
make serious mistakes when confronted with statistical evidence, while
there is ample evidence that lawyers tend to think in terms of arguments
and scenarios. Therefore the project aims to develop methods for
supporting argumentation- and narrative-based communication about
statistical evidence. Both the design and the understanding of models of
evidence will be investigated.
This study will be carried out in two subprojects, addressing,
respectively, argumentation and narrative techniques. Both subprojects
take the statistical formalism of Bayesian Networks as point of departure.
In the subproject performed at Utrecht University, argumentation
techniques for the design and understanding of models of evidence will be
developed. In the subproject performed at the University of Groningen, the
design and understanding of models of evidence will be investigated using
narrative techniques.
The project is the first that addresses the communicative gap between
forensic statisticians, crime investigators and lawyers, by combining
Bayesian Networks with models of scenario construction and argumentation.
On request, we can send you the full plan for the project. In that case,
and for other questions, please contact Dr B. Verheij.
Requirements
A successful candidate has a Master's degree in Artificial Intelligence,
Computer Science, Mathematics, Philosophy, or a related field, and has an
interest in formal research in argumentation, narrative techniques and
Bayesian Networks, and their application in forensic contexts.
Conditions of employment
The University of Groningen and Utrecht University offers a salary of
2,042 gross per month in the first year up to a maximum of 2,612 gross
per month in the final year. The appointment is for a period of four
years, which should be finished with a PhD examination. The full time
appointment is temporary for 1.5 years with the perspective of
prolongation for another 2.5 years. After the first year, there will be an
evaluation of the feasibility of successful completion of the PhD thesis
within the next three years. You and your supervisors will make up a plan
for additional education and supervising that is specific to your needs.
How to apply
Send a cover letter (with professional goals and a statement of interest),
a curriculum vitae and two letters of recommendation (PDF format) to the
job application portal before January 15th, 2011 although applications
received after the deadline may be considered. If you have a preference
for one of the two subprojects, this can be indicated in your application.
Starting date: as soon as possible.
Organisation
Faculty of Mathematics and Natural Sciences The two subprojects will each
be performed by one PhD student in close collaboration. One PhD student
will be based at the University of Groningen (Faculty of Mathematics and
Natural Sciences, Department of Artificial Intelligence, Multi-Agent
Systems group), the other at the Utrecht University (Faculty of Science,
Department of Information and Computing Sciences, Intelligent Systems
group). Both groups have a world-class reputation, in particular in the
fields of AI and law and of Bayesian Networks. Daily supervision will be
performed by Dr B. Verheij, Prof. H. Prakken and Dr S. Renooij. The PhD
student based in Groningen will participate in the Graduate School of
Science of the Faculty of Mathematics and Natural Sciences.
Additional information
Dr B. Verheij
b.verheij@ai.rug.nl
More information about the project
http://www.ai.rug.nl/~verheij/nwofs
More information about employer University of Groningen on AcademicTransfer.
Direct link to this job opening: http://www.academictransfer.com/12220/