academic job

 The Container Traffic Monitoring (Contraffic) project is carried out in the framework of Community Customs Cooperation. The latest amendment to the basic legislation foresees the possibility that the Commission establish and manage a "directory of data" on the international goods supply chain including transport, based on both public and private data sources. The Commission is empowered to access and analyze such data for the purposes of operational and strategic analyses and also to make data and results available to competent MS authorities. Such data includes the movements of containers as well as their means of transport (e.g. maritime vessels). CONTRAFFIC focuses precisely on the analysis of past movements of maritime containers. Data is gathered from different sources and analysed in a way that allows the extraction of useful patterns and information that improves detection of fraud involving false declarations of origin for traded goods. How to apply: http://ipsc.jrc.ec.europa.eu/jobs.php?id=8 Applications should be sent to JRC-IPSC-GRANTHOLDERS@ec.europa.eu Post-Doc Researcher Title: Data mining and algorithm design CALL REFERENCE NO. : IPSC/G04/20 Category : 30. Post-Doc researcher Action : CONTRAFFIC Application must be delivered before 25 Oct, 2009 - 23:59:59CET The selected candidate will work as part of a team of IT specialists and data analysts and will be primarily responsible for the development of data mining applications. This includes prototyping decision making algorithms that will be used in turn to implement "flagging" facilities (identifying anomalies in data) for an operational environment. Required profile: The ideal candidate profile features: a PhD degree - or a min. of 5 years of research experience after the first Univ. degree – in data analysis, computer science, mathematics, statistics or relevant discipline; experience in algorithmic development including their IT applications, and familiarity with statistical data mining and data base applications; Hands-on software development skills in Java, Oracle database server and PL/SQL, are desirable. Good hands-on skills with Matlab will be appreciated. The successful candidate will be expected to publish methodological advances in peer-reviewed journals. Excellent written and oral English is an advantage. Duration : 36 months More Info: http://ipsc.jrc.ec.europa.eu/showgrant.php?id=130 Ph.D. Student Title: Multidimensional Data Visualisation CALL REFERENCE NO. : IPSC/G04/23 Category : 20. Ph.D Student Action : CONTRAFFIC Application must be delivered before 25 Oct, 2009 - 23:59:59CET Short description of proposed PhD activity: The selected candidate will work as part of a team of IT specialists and data analysts and will be primarily responsible for the development of advanced tools for multidimensional data Visualisation. This includes interactive visualisation of sampled or computed data that could facilitate decision making. Advanced Interactive querying and manipulation techniques should be applied and novel one developed in order to facilitate rapid display of multivariate data and give the user a better understanding of the data. Required profile: The ideal candidate profile features: a university degree in data analysis, computer science, artificial intelligence, mathematics, statistics or relevant discipline; experience in algorithmic development and familiarity with multidimensional data handling; Hands-on software development skills in Java, SPSS and Matlab will be appreciated. The successful candidate will be expected to have strong technical background in data visualisation tools, good communication skills and publish methodological advances in peer-reviewed journals. Excellent written and oral English is an advantage. Duration : 36 months More Info: http://ipsc.jrc.ec.europa.eu/showgrant.php?id=137