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*De: *"Anne Gardner" <gardner.a...@sbcglobal.net> *Assunto: **[IAAIL] PhD position *Probabilistic Decision Support for Forensic Investigations* at Utrecht University* *Data: *6 de setembro de 2016 21:19:55 BRT *Para: *"IAAIL members" <secret...@iaail.org> The Department of Information and Computing Sciences of Utrecht University is looking for an enthusiastic PhD candidate for our PROBAS project (Probabilistic decision-making Based on Arguments and Scenarios). In this project, fundamental research on language, logic and algorithms is combined with research into knowledge elicitation and decision-support in the context of large forensic investigations. **Job description** The probabilistic Bayesian network formalism can provide the basis for decision support in complex investigative domains where uncertainty plays a role (e.g. forensics, risk assessment). Yet, Bayesian networks are only sparsely used in practice because domain experts use more informal concepts, such as scenarios and arguments, which convey verbally expressed uncertainty (“strong arguments for the suspect’s guilt”, “plausible scenarios in which the suspect is innocent”). We therefore need to engineer tools for Bayesian network construction into the heart of the decision-making process. These tools should be based on familiar, more linguistically-oriented concepts such as arguments and scenarios, and complemented by algorithms intended to speed up and facilitate the process of building Bayesian networks. The aim of this interdisciplinary project is to determine how arguments and scenarios are used in actual decision-making, how they can be used to construct and compare Bayesian networks, and how subsequently mathematical and computational techniques can be used to refine and choose between alternative networks. The PhD candidate will perform case studies at the Dutch police on investigation and operational risk assessment, design knowledge-elicitation techniques based on scenarios and arguments and study mathematical and computational techniques for comparing Bayesian networks. The knowledge elicitation techniques and algorithms developed will be implemented in software services that connect to existing and new interfaces at the Dutch police. The candidate will be part of the department of Information and Computing Sciences' Artificial Intelligence division, working with the Intelligent Systems group (Floris Bex, Henry Prakken) and the Decision Support Systems group (Silja Renooij, Linda van der Gaag), in close partnership with the Dutch National Police. **Qualifications** A prospective candidate has a master's degree in Artificial Intelligence, Computer Science, Information Science, Mathematics or a related field. The candidate should have solid mathematical knowledge and programming skills and an interest in formal research in argumentation, scenario-based reasoning and Bayesian networks, and their application in forensic/police contexts. The ideal candidate should have excellent academic qualifications as well as good communication and collaboration skills, and candidates are expected to be in the upper segment of their class with respect to academic credentials and must show interest in both research and teaching/supervision activities. **Conditions of Employment** The candidate is offered a full-time position for four years. Salary starts at € 2,191 and increases to € 2,801 gross per month in the fourth year of the appointment. The salary is supplemented with a holiday bonus of 8% and an end-of-year bonus of 8,3% per year. In addition we offer: a pension scheme, a partially paid parental leave, flexible employment conditions. Conditions are based on the Collective Labour Agreement Dutch Universities. The research group will provide the candidate with necessary support on all aspects of the project. **Employer** The city of Utrecht is one of the oldest cities in the Netherlands, with a charming old centre and an internationally oriented culture that is strongly influenced by its century-old university. Utrecht city has been consistently ranked as one of the most livable cities in the Netherlands. Utrecht University's faculty of Science consists of six departments: Biology, Pharmaceutical Sciences, Information and Computing Sciences, Physics and Astronomy, Chemistry and Mathematics. The faculty is home to 4800 students and nearly 1500 staff and is internationally renowned for the quality of its research. The faculty's academic programmes reflect developments in today's society. The department of Information and Computing Sciences has a strong national and international reputation in computer science and AI. Research activity within the department is housed in the Institute of Information and Computing Sciences and comprises four divisions: Artificial Intelligence, Interaction technology, Software systems and Virtual worlds. The PhD candidate will become part of the Artificial Intelligence division. **Additional Information** Additional information about the vacancy can be obtained from: dr Floris Bex, f.j....@uu.nl, or dr Silja Renooij, s.reno...@uu.nl. A more detailed project description can be provided upon request. **Applying** Application is through the online application system of Utrecht University (link to job posting <https://ssl1.peoplexs.com/Peoplexs22/CandidatesPortalNoLogin/Vacancy.cfm?PortalID=4124&VacatureID=850312&Vacancy=PhD%20position%20%22Probabilistic%20Decision%20Support%20for%20Forensic%20Investigations%22%20%281%2C0%20FTE%29#top>, with application button). Please attach a letter of motivation, curriculum vitae and (email) addresses of two referees. It is possible to apply for this position if you are close to obtaining your Master's degree. In that case include a letter of your supervisor with an estimate of your progress. The application deadline is *October 1, 2016* To change your address or unsubscribe from the IAAIL mailing list, write to secret...@iaail.org or simply reply to this message. -- Marcelo Finger Departament of Computer Science, IME University of Sao Paulo http://www.ime.usp.br/~mfinger -- Você está recebendo esta mensagem porque se inscreveu no grupo "LOGICA-L" dos Grupos do Google. Para cancelar inscrição nesse grupo e parar de receber e-mails dele, envie um e-mail para logica-l+unsubscr...@dimap.ufrn.br. Para postar neste grupo, envie um e-mail para logica-l@dimap.ufrn.br. Visite este grupo em https://groups.google.com/a/dimap.ufrn.br/group/logica-l/. Para ver esta discussão na web, acesse https://groups.google.com/a/dimap.ufrn.br/d/msgid/logica-l/CABqmzx3xnmjC7%2BDO6%3Dd8pSUxOhxhYM1jHFWV_CbMJ3dW1g9CcQ%40mail.gmail.com.
