Postdoc on Computer Vision Deep Learning Algorithms and Architectures (V36.3431)

Postdoc on Computer Vision Deep Learning Algorithms and Architectures

Aanstellingsfunctie(s)
(Postdoctoraal) onderzoeker
Faculteit(en)
Faculteit Electrical Engineering
FTE
1,0
Sluitdatum
09/09/2018
Aanvraagnummer
V36.3431

Functieomschrijving

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.

Job description
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.

Functie-eisen

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. We are looking for candidates that match the following profile:

  • A PhD degree in Computer Science, Electrical Engineering or related disciplines with excellent grades.
  • Good publication record.
  • Excellent knowledge of computer architectures.
  • Very good algorithmic skills, in particular with respect to vision and deep learning.
  • Very good programming skills (e.g., in C or C++) on CPUs and GPUs.
  • Experience with hardware design (e.g., in Verilog or HLS) and FPGAs.
  • A team player that enjoys coaching of PhD and Master students in multicultural teams.
  • Good communication and organization skills.
  • Excellent English language skills (writing and presenting).

Arbeidsvoorwaarden

We offer an exciting job in the group Electronic Systems of the Eindhoven University of Technology:

  • A full time appointment for at least 2 years (start date in the period August 2018 - October 2018) at Eindhoven University of Technology http://www.tue.nl/en/
  • Gross monthly salaries and conditions are in accordance with the Collective Labor Agreement of the Dutch Universities (CAO NU), scale 10, depending on your experience.
  • Interesting cooperation with the high-tech industry in- and outside The Netherlands.
  • An attractive package of benefits, including end-of-year allowance, and excellent sport facilities.

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

Informatie en sollicitatie

Information
For more specific information about these positions please contact:
prof.dr. Henk Corporaal (H.Corporaal@tue.nl), dr. ir. Sander Stuijk (S.Stuijk@tue.nl)

Application
If interested, please use 'apply now'-button at the top of this page. You should upload the following:

  • A detailed curriculum vitae, a letter of motivation and portfolio with relevant work.
  • A cover letter explaining your motivation and suitability for the position.
  • A detailed Curriculum Vitae (including a list of publications and key achievements in research project(s)).
  • Contact information of two references.
  • Copies of diplomas with course grades.

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.

Please keep in mind; you can upload only 5 documents up to 2 MB each.