Are you looking for a job in the virtual reality field? This article is for you! Read more about the two Ph.D. positions open at the University of Bremen and submit your application.
Novel 3D Interaction Techniques for Collaborative, Immersive Scientific Visualization
A researcher with the Computer Graphics and Virtual Reality Group at the University of Bremen, Germany.
Building on the state of the art in virtual reality research, including latest developments of production-quality game engines, this Ph.D. project shall develop concepts, scientific visualization methods, 3D interaction metaphors, and immersive virtual reality tools for geographically remote researchers to share and explore a meaningful virtual environment for collaborative virtual fieldwork on the seafloor. The project will evolve around the visualization of cutting-edge, large scale photogrammetric scans of hydrothermal (black smoker) vent fields and related volcanic structures of the mid-oceanic ridges.
This PhD project will draw upon visualization resources both at the CGVR lab at University of Bremen (in particular, the two-user powerwall, i.e., large-screen stereoscopic projection wall with tracking and correct projection for two users simultaneously), and at GEOMAR (the ARENA2 visualization dome theatre) as well as head-mounted display “satellite systems” (e.g., wireless VIVE at CGVR), to form a connected ecosystem.
Computer Graphics and Virtual Reality Group Bremen
Researcher with the Computer Graphics and Virtual Reality Group at the University of Bremen, Germany.
For several years now, innovative algorithms and methods for forward-looking space projects have been developed and researched within the framework of exploration projects funded by DLR Space Management. The knowledge gained and the algorithms developed are to be brought back to Earth as part of the project presented and made available as a key technology for mobility 4.0 in Germany. Within the framework of earlier space projects, algorithms for the planning and simulation of an autonomous spacecraft for the reduction of resources on asteroids were developed. The core contents of autonomous planning, navigation, and flight path optimization and control serve as a basis for the application of autonomous vehicles described here. The current project is based on results from an earlier project on autonomous driving and extends the research questions to real application scenarios by involving industrial partners.
The aim of the project is to automate recurring journeys in known areas and in particular to present solutions for cooperative maneuvers in such areas. For this purpose, the cooperation partners are working on the implementation in an application-oriented test field. Overarching goals of the project, which are to be implemented especially on real vehicles, are:
- To create uniform software frameworks for the different requirements of highly-automated driving;
- Transfer of know-how and algorithms from space travel for highly automated driving as well as the definition of requirements for modern satellite navigation;
- Development of efficient 3D algorithms for geomatric computing in order to facilitate remote driving.
Candidates should have an excellent Master’s degree or equivalent in computer science, or related disciplines such as mathematics, computational engineering, physics, etc. Required skills are solid experience in C++ software development, and a very good command of English (reading/writing/speaking). Ideally, you have specialized in real-time computer graphics or physically-based simulation, you are capable of effectively applying mathematical methods, and you have good knowledge of GPGPU programming. In addition, the successful candidate will be highly self-motivated, passionate about their work, and have a good ability to work both independently as well as in a team in a multidisciplinary environment.
How to apply
Applications should comprise a cover letter, complete CV including any achievements, degree certificates (including a list of courses and grades), names and contact details of at least two referees, and other credentials if any (e.g., recommendation letters, publications, etc.). Application by email is preferred. We encourage candidates to apply immediately but will continue to review applications until the position is filled. If you have any questions about the position, please do not hesitate to address them to the above email address.
Prof. Dr. Gabriel Zachmann
University of Bremen
28359 Bremen / Germany
zach at cs.uni-bremen.de
Visit the official website for further information.