Description : The Institute for Spatial Information and Measurement (I3mainz) at the University of Applied Sciences (Mainz, Germany) and its partner the Laboratory of Computer Science, Electronics and Imaging (Le2i – UMR 5158 CNRS) at the University of Bourgogne (Auxerre, France) are seeking applications from qualified individuals to fill an available Ph.D. position in the field of Computer Science commencing September, 2009. The successful candidate will be expected to hold a Master’s degree or equivalent in Computer Science or a related field and will be enrolled in the doctoral program at the University of Bourgogne. The candidate’s work will be carried out in part at I3mainz in Germany and in part at the Le2i in France. His research will be within I3mainz’s WiDOP project which benefits from a three-year funding support (~ 27 000 EUR per year for this position) granted by the Federal Ministry of Education and Research (Germany). WiDOP (Wissensbasierte Detektion von Objekten in Punktwolken für Anwendungen im Ingenieurbereich), which stands for “Knowledge-based detection of objects in 3D point clouds for engineering applications”, is an ambitious project aiming to devise and develop efficient intelligent methods capable of achieving an automated processing of terrestrial laser scanner data. This project contrasts with existing ones in that it uses prior knowledge as basis for a selective, object-oriented detection, identification and modeling of objects present in the point cloud. This knowledge can be obtained from various sources such as databases, construction plans, as-built plans or Geographic Information Systems. Within WiDOP, the successful candidate will work on knowledge-based numerical processing of 3D point clouds. The goal is to develop and implement intelligent methods capable of achieving an automated processing, detection, identification and modeling of objects from terrestrial laser scanner data. Applicants should send, by e-mail, their curriculum vitae, the names and contact information of 2 references and a cover letter to Adlane Habed Adlane.Habed@u-bourgogne.fr Tel.: +33 (0)3 86 49 28 57 Links: [i3mainz] http://www.i3mainz.fh-mainz.de/ [Le2i] http://vision.u-bourgogne.fr/le2i/

Category : PhD position

Contact address : Adlane Habed Assistant Professor UFR Sciences and Techniques, Université de Bourgogne BP 16, Route des Plaines de l’Yonne, 89010 AUXERRE Cedex FRANCE E-mail: Adlane.Habed@u-bourgogne.fr Phone. : + 33 3 86 49 28 57, Fax : +33 3 86 49 28 50

Keywords : 3D processing, 3D reconstruction, knowledge processing