The Electronic Systems Group of the Department of Electrical Engineering at Eindhoven University of Technology (TU/e) invites applications for a PhD position on Computer Vision Deep Learning Algorithms and Architectures.
Job descriptionSince the introduction of deep learning (DL) techniques, the advances in video analytics are going in a rapid pace. Deep learning is based on neural networks comprising multiple layers of connected neurons that can be trained to classify input signals. In the domain of video analysis, this technique is used to detect, analyze, recognize, or classify objects. The deep neural network requires a tremendous amount of compute power and huge memory bandwidth. To satisfy these requirements advanced DL algorithms and architectures have to be developed which exploit parallel processing, in particular vector parallelism, specific accelerators, and advanced memory interfaces and memory hierarchy.
Within the ZERO program for Energy Autonomous Systems for Internet of Things, the PhD student will research techniques to efficiently map deep neural networks to various low energy consuming heterogeneous hardware and processing platforms, including GPUs, FPGAs and ASICs. The driver application, a smart surveillance camera system, will be delivered by one of the partners in the project (ViNotion,
www.vinotion.nl).
LocationThe research will be carried out in the Electronic Systems Group of Eindhoven University of Technology and in the research lab of ViNotion, also in Eindhoven. The Electronic Systems (ES) group consists of seven full professors, one associate professor, nine assistant professors, several postdocs, about 40 PDEng and PhD candidates and support staff. The ES group is world-renowned for its design automation and embedded systems research. ViNotion is a leading company in the smart surveillance area.