PhD Position in 3D Shape Retrieval and Analysis The position is available at the Institute of Computer Graphics and Knowledge Visualization at TU Graz (see http://www.cgv.tugraz.at). The position is fully funded for three years and includes a one year research exchange with Nanyang Technical University, Singapore within the joint PhD Program in Visual Computing of the two Universities (see http://cospace.sce.ntu.edu.sg/joint_degree/TUG.htm). Research Focus and Environment Due to recent advances in 3D acquisition and modeling, increasingly large amounts of 3D shape data become available in many application domains. Coping with large 3D shape data requires effective and efficient techniques to support 3D searching, exploring, analyzing and processing tasks. Our research group works on feature-based approaches for 3D shape retrieval including sketch- and example-based methods; clustering and classification of shape repositories for annotation and visual exploration; and on similarity-based methods for restoration of fragmented or incomplete shapes. The successful candidate will contribute to the group's research efforts by developing, applying and evaluating novel feature-based shape analysis methods to support one or more of the above mentioned problems. The methods to be researched are informed by new application needs in domains such as Computer Aided Design and Digital Archeology. The researcher will collaborate with experts from relevant application domains to gather requirements, experimental data, and perform joint evaluation. Our research group offers a pleasant working atmosphere in a motivated, cooperative, and technically very well equipped environment. We offer excellent professional and personal development possibilities, including participation in interesting research projects, a foreign exchange program, and a range of industry contacts. The group is part of the Visual Computing research cluster in Graz, offering an excellent scientific environment. The city of Graz and the Austrian state of Styria offer exceptional quality of living. Requirements We are looking for a highly motivated member for our research team with a Master degree in Computer Science or a related field. Candidates have a background in Visual Computing techniques and are motivated to take on basic research challenges in the areas described above, and demonstrate the novelty and effectiveness of their methods by experimental evaluation and application. Practical programming skills in Java, C++ or other suitable language are required. Applicants are fluent in English and enjoy collaborative work in an international environment. Contact and Application Please contact cgv(a)cgv.tugraz.at for further details on the position. To apply, please send your CV, academic credentials and a letter of motivation by email or by postal mail to: Graz University of Technology Faculty for Computer Science and Biomedical Engineering Institute of Computer Graphics and Knowledge Visualization Ingrid Preininger Inffeldgasse 16c A-8010 Graz