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PhD Scholarship on Computer Vision Deep Learning Algorithms and Architectures

Applications are invited for a PhD position in computer vision to join Eindhoven University of Technology. Applications will be evaluated on a continuous basis.

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.

Since 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).

Location

The 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. The ideal candidate is pro-active, highly motivated, and independent, and has proven experience with the design of embedded systems. The candidate has also good written and oral communication skills in English.

We offer a fixed-term, 4 year position in a research group with an excellent reputation.

prof. dr. Henk Corporaal ( ), dr. ir. Sander Stuijk ( ) If interested, please use ‘apply now’-button at the top of this page.

Candidates will be selected based on graduation mark and proficiency at university including consideration of the reputation of the university, relevant experience and skills, writing skills and publications, work experience as well as performance in relevant modeling exercises and interviews.


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