Multiple PhD Studentships: Application of Graphics and computational fabrication techniques for novel 3D printed acoustic devices (2018)
Multiple PhD studentships in computational fabrication and graphics are available in the Interact Lab of the University of Sussex.
Type of award
Multiple PhD studentships in computational fabrication and graphics are available in the Interact Lab of the University of Sussex from October 2018. The project will be supervised by Sriram Subramanian (https://scholar.google.com/citations?user=CO9UQcsAAAAJ&hl=en).
Our group is interested in exploring the use of 3D printed structures to shape and sculpt sound input sound fields. These 3D printed structures are often called metamaterials and can be used to create acoustic lenses and mirrors. Using these structures, we can create novel haptic devices, speakers and many new interactive experiences.
This project will involve using computer graphics techniques to model and analyse these structures to make structures that are efficient and effective in manipulating input sound fields. This project will give you the opportunity to collaborate in a novel field of cutting edge research in a highly applied and fast moving area. The successful candidate will engage with many ongoing research collaborators in UK, Denmark, Sweden and USA. In addition to undertaking high quality research and publishing in top graphics and HCI conferences/ journals, the group also creates significant impact by developing technology that is integrated into different industry products.
DTU Compute’s Sections for Image Analysis and Computer Graphics, would like to invite applications for a 3-year PhD position starting, preferably, January 1st, 2018. The project is financed in large part by InnoTop: a six year research program aimed at providing new algorithms for large-scale shape and topology optimization. InnoTop is a Villum Investigator Project funded by the Villum Foundation and led by the Topology Optimization group at the Section for Solid Mechanics at DTU Mechanical Engineering. The present PhD project will be carried out in close collaboration with the TopOpt group.
Our department, DTU Compute, is an internationally unique academic environment spanning the science disciplines mathematics, statistics and computer science. At the same time we are an engineering department covering informatics and communication technologies (ICT) in their broadest sense. Finally, we play a major role in addressing the societal challenges of the digital society where ICT is a part of every industry, service, and human endeavour.
DTU Compute strives to achieve research excellence in its basic science disciplines, to achieve technological leadership in research and innovation, and to address societal challenges in collaboration with partners at DTU and other academic institutions, nationally and internationally, and, equally important, with industry and organizations. We communicate and collaborate with leading centres and strategic partners in order to increase participation in major consortia.
DTU Compute plays a central role in education at all levels of the engineering programmes at DTU – both in terms of our scientific disciplines and our didactic innovation.
The Department of Computer Science and Engineering provides a strong, international, and dynamic research environment with about 70 faculty and 70 PhD students from about 30 countries.
The Ph.D. student will be part of the Computer Graphics research group and the Distributed Computing and Systems research group.
The Computer Graphics research group conducts research with high impact internationally on new algorithms for photo-realistic real-time and off-line rendering as well as on methods to boost the performance of algorithms by parallelizing them for GPUs.
The Distributed Computing and Systems research group conducts research with high impact internationally on the design and analysis of lock- and wait-free data structures for shared memory systems, run-time systems, and parallel algorithms and data structures in general for highly parallel, heterogeneous, many-core systems.
The groups run a set of national, European and international projects in the area and cooperate on a recently started project in Software Abstractions for Heterogeneous Multi-core Architectures.
The research focuses on efficient parallelization of common algorithms for execution on single GPUs, multiple GPUs in one PC, and potentially clusters of GPUs. In particular, one goal is to utilize the results for the development of new graphics algorithms with higher performance in terms of speed and/or visual quality. This involves work on parallel building blocks (e.g. tree traversal, load balancing, sorting) and new rendering techniques.