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Vacature Faculty of Mathematics and Natural Sciences - PhD positions Forensic Science (2,0 fte)
PhD positions Forensic Science (2,0 fte)
- Specificaties - (uitleg)
Locatie Groningen Functietypes PhD positions, Research, Development, Innovation Uren 76.0 uren per week Salaris maximaal € 2612 Werk-/denkniveau University Graduate Vacaturenummer 211198-99 Vertalingen en
Functiebeschrijving
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.
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.
Functie-eisen
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.
Arbeidsvoorwaarden
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 February 15th, 2012 24:00 CETalthough 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.
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 February 15th, 2012 24:00 CETalthough 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.
Organisatie
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.
Additionele informatie
Meer informatie over de werkgever University of Groningen op AcademicTransfer. Verkorte link naar deze vacature: www.academictransfer.com/12220
U kunt niet meer op deze vacature solliciteren.
Meer informatie over en actuele vacatures van University of Groningen op AcademicTransfer.
More vacancies of function type: PhD positions, Research, Development, Innovation.
Meer informatie over en actuele vacatures van University of Groningen op AcademicTransfer.
More vacancies of function type: PhD positions, Research, Development, Innovation.
