We are continuously looking for talented researchers to join CGV. We regularly hire PhD students and researchers to join our research and teaching activities, based on availability. We also offer undergraduate research internships with our institute.
Date: October 01, 2018
We are looking for a motivated researcher on the PhD student level to join the Institute of Computer Graphics and Knowledge Visualization at Graz University of Technology. In context of a newly approved collaborative research project funded by the Austrian Science Fund FWF, we will research new approaches for interactively searching and visually exploring in collections of 3D objects, with application and evaluation in the field of cultural heritage. The position is initially available for three years with the possibility to develop a PhD thesis in Computer Science at TU Graz.
Recent advances in digitization technology lead to growing amounts of 3D objects becoming available in many applications. As part of this trend, digitization efforts in the cultural heritage field lead to increasing amounts of 3D data representing artifacts, collected in 3D repositories and virtual museums. Also, a wealth of image data and documents exist which represent knowledge on artifacts. We will research novel methods for cross-modal search in 3D and image documents, supporting shape retrieval and comparison tasks in the cultural heritage field. We will also consider novel approaches for visualization of 3D and image content, supporting exploration and association tasks. The project will run in collaboration with researchers from Archaeology, informing and evaluating the methods research.
Illustrations. Left: 3D search with fragmented query object assisted by user sketch. Right: Cross-modal search for shape views in documents. (sources: www.presious.eu, own 3D data, Virtual Hampson Museum, Wikipedia and Wikimedia Commons, Arkansas Archaeologist)
A master degree in computer science, information systems, information science, mechatronics, telematics, mathematics, or related studies is required. One or more of the following skills are required: Knowledge in computer graphics, information retrieval, multimedia databases, data visualization, or interactive systems. Practical skills in a current programming language (e.g., C++, C#, Java, Python, etc.) are required. An interest to work in a collaborative research environment with domain experts in the Humanities is expected.
The position is initially available for three years, starting in December 2018 or later. The opportunity to develop a Ph.D. thesis with the Doctoral School for Computer Science at TU Graz is provided. The full-time gross salary for this position is at least 2.794,60 Euro per month (14 times a year) and includes full social insurance.
Our research group offers a creative working atmosphere in a motivated, cooperative, and technically very well equipped environment. We offer excellent professional and personal development possibilities. Our institute is part of the Visual Computing research cluster in Graz, offering an excellent scientific environment at large. The city of Graz and its Styrian surroundings offer exceptional quality of living.
Please send your application including a letter of motivation, CV and supporting documents via email to: firstname.lastname@example.org, or by postal mail to Institute of Computer Graphics and Knowledge Visualization, Prof. Dr. Tobias Schreck, Inffeldgasse 16c, 8010 Graz, Austria, phone: +43 316 873 5403. Information on our institute is available at www.cgv.tugraz.at. Please contact Tobias Schreck for any questions. We do welcome applications from female and international candidates. In case of equal qualification, female applicants will be hired preferentially. This position is available until filled.
Date: June 22, 2018
The Institute for Computer Graphics and Knowledge Visualization at Graz University of Technology (TU Graz), Austria participates since 2012 in a joint PhD program with the School of Computer Science and Engineering at Nanyang Technological University (NTU), Singapore.
Currently, we offer a 3 year PhD Position on this joint program at the Institute for Computer Graphics and Knowledge Visualisation, with a focus on research in Geometric Modeling, 3D Computer Graphics and Novel Applications in Visual Computing. The PhD includes a one year stay at NTU in Singapore in the second year, while year one and three will be spend at TU Graz, Austria. The PhD will be dual degree, that is, the degree will be both, from TU Graz and NTU.
The Topic can be defined in accordance with the applicant's skills and experience. Topics of interest are in the field of subdivision surfaces, isogeometric analysis and wider fields of geometry processing.
Of particular interest is the creation of subdivision control meshes from point clouds. The evolution of 3D scanning devices and innovation in computer processing power and storage capacity has sparked a revolution in producing big point-cloud datasets. We aim to circumvent problems involving big point-cloud data sets by converting the data to an efficient mathematical representation, namely subdivision surfaces. The control meshes should be suitable for design and analysis. This research can take a range of directions depending on the skill of the PhD student. The research has multidisciplinary aspects drawing from computer science, mathematics, engineering and physics.
We are seeking an excellent and highly motivated PhD student interested in the ﬁelds of Computer Graphics, Geometry Processing, Computer Aided Design (CAD), Simulation and Analysis.
A master degree in applied/computational mathematics or a closely related ﬁeld is required with excellent grades. The applicant ideally has a good understanding of geometric modelling and processing, and/or ﬁnite element methods. Due to the computational nature of the project, programming skills (C++/Matlab) are also required. Additionally, some background in mesh processing (and/or computer aided geometry design) will be highly desirable.
To apply, please send your CV, academic credentials and a letter of motivation to Ass. Prof. Ursula H. Augsdorfer at u.augsdorfernoSpam@cgv.tugraz.at