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Postdoc on Computer Vision Deep Learning Algorithms and Architectures

Eindhoven University of Technology is pleased to invite applicants to apply for a new opening postdoctoral associate position in computer vision. Applications will be evaluated immediately.

The Electronic Systems Group of the Department of Electrical Engineering at Eindhoven University of Technology (TU/e) invites applications for a postdoc 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 postdoc 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 affinity with giving lectures and has good written and oral communication skills in English.

More information on employment conditions can be found here: http://www.tue.nl/en/university/working-at-tue/working-conditions/

prof. dr. Henk Corporaal (h. corporaal[a]tue. nl), dr. ir. Sander Stuijk (s. stuijk[a]tue. nl) 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.

The selection of applicants and the job interviews will start immediately until we find a suitable candidate.

For this vacancy we will recruit simultaneously both internal as external. In the case of equal suitability internal candidates take priority over external candidates.

Acquisition as a result of this advertisement is not appreciated.


Summary:

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