COMPUTATIONAL NEUROSCIENCEPhDApplications Closed

Joni Dambre

Ghent, Belgium

Position Details
Apply by Mar 1, 2021
PhD
Ghent, Belgium

Application deadline

Mar 1, 2021

Job

Job location

Geocoding

Ghent, Belgium

Quick Information

Application Deadline

Mar 1, 2021

Start Date

Flexible

Education Required

See description

Experience Level

Job

Job location

Geocoding

Ghent, Belgium

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Job Description

You will be enrolled at Ghent University for a PhD in Computer Science Engineering. However, your research will be highly interdisciplinary. You will need to combine in-depth understanding of biological learning, artificial learning and its efficiency as a hardware implementation.

As PhD student at Ghent university, you will collaborate with enthusiastic colleagues at IDLab-AIRO (https://airo.ugent.be/research/) and our international partners in the SmartNets project (https://www.smartnets-etn.eu/).

As an Early Stage Researcher (ESR) in the SmartNets network, you will form an active training network with the other ESRs in the project and you are required to spend part of your PhD time (~ 2 times 3 months) with some of our partners.

For the complete vacancy visit: https://www.ugent.be/ea/idlab/en/news-events/news/vacancy-phd-biologically-inspired-feature-learning.htm

Requirements

  • You have the degree of Master of Science
  • preferably in Computer Science (engineering)
  • Cognitive or computational Neuroscience or related
  • Ideally
  • you have a background in both
  • computer science (in particular
  • artificial neural networks and/or Bayesian networks)
  • (computational) neuroscience and (properties of) physical realisations (e.g.
  • trade-offs and efficiency in digital hardware)
  • Your degree must be equivalent to 4 or 5 years of studies (bachelor + master) in the European Union
  • you must have a solid academic track record (graduation cum laude or grades in the top 15% percentile)
  • For the full list visit: https://www.ugent.be/ea/idlab/en/news-events/news/vacancy-phd-biologically-inspired-feature-learning.htm

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