PhD Position in 3D Shape Retrieval and Analysis
The position is available at the Institute of Computer Graphics and Knowledge Visualization at TU Graz
research exchange with Nanyang Technical University, Singapore within the joint PhD Program in Visual
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@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
