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Vrije Universiteit Brussel (VUB)
IR/2019/003 - Research and teaching staff - 100% - Faculty of Engineering - ETRO
Vrije Universiteit Brussel (VUB)
The Vrije Universiteit Brussel is the offshoot of the French-speaking Université Libre de Bruxelles (ULB) that was founded in 1834 by a Brussels lawyer with Flemish origins, Pierre-Théodore Verhaegen.
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Publié: il y a 7 jours
Date limite d'inscription: avr. 10
Localisation: Brussels, Belgique
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PARTAGER CE POSTE

IR/2019/003 - Research and teaching staff - 100% - Faculty of Engineering - ETRO

Company details

The Vrije Universiteit Brussel has been a leading player in the Flemish Higher Education landscape for 40 years. The University numbers 12.000 students and together with its hospital - UZ Brussel – employs more than 6000 people. The Vrije Universiteit Brussel is the largest Dutch speaking employer in the capital.

Teaching and research at the Vrije Universiteit Brussel are founded on the principle of unfettered inquiry to benefit the progress of mankind. This means rejecting dogmatic positions and guaranteeing the freedom to form opinions without interference; in this way the University aims to ensure the dispersal of the principle of unfettered inquiry throughout society.

The University is autonomous and democratically run. This means guaranteeing the exercise of the fundamental freedoms within the University, as well as the right of the University Community to participate in the decision making process and scrutiny of University policy.

The following form part of the University’s mission:

  • the development, the communication and the application of a high level of academic education and scientific research, free from all preconceived ideas;
  • the translation of these ideals and knowledge into society in the spirit of social engagement;
  • the creation of a society in which everyone is capable of engaging in critical thinking.

Function

Academic department: ETRO

Despite the success of deep learning in various tasks, its limiting factor is that its theoretical understanding remains underdeveloped, which in turn translates into a lack of principled methods to design efficient deep-neural-network architectures. This postdoctoral opening focuses on research around explainable artificial intelligence (XAI). Specifically, the research revolves around the theoretical foundations of deep learning, using concepts from signal processing, source/channel coding and information theory, and the design of interpretable deep neural networks, including the compression and pruning of such networks. The domain of application is multimodal visual computing; specifically, the processing and analysis of data from diverse imaging modalities (e.g., image, video, time-of-flight and radar Imaging) with applications in entertainment (Virtual/Augmented Reality, Holoportation), and industry 4.0 (non-destructive testing, anomaly detection).

The position is within the Big Data team (homepages.vub.ac.be/~ndeligia/) at the Department of Electronics and Informatics (www.etrovub.be) at Vrije Universiteit Brussel, Belgium, which specializes on signal processing, machine learning, and information theory for big data acquisition, mining, processing and analysis. The team is affiliated with imec, an international R&D and innovation hub in nanoelectronics and digital technologies (www.imec-int.com/).

Perform scientific research in Explainable AI for Multimodal Visual Computing. 
The successful candidate will complement the existing team of several researchers working on fundamental and industrial research projects. The key responsibilities are:

  • Contributing to the design and development of novel theory and algorithms for explainable deep learning with application in multimodal visual computing;
  • Contributing to the design and development of experiments for the validation and fine-tuning of the algorithms;
  • Contributing to the preparation of scientific publications and patents;
  • Guidance and supervision of junior researchers.

Questions about content?

Contact Prof. Dr. Nikos Deligiannis on +32 2 629 16 83 or via ndeligia@etrovub.be.

Profile

We are especially interested in candidates with the following profile:

  • A PhD degree focusing on machine learning, signal processing, computer vision, or information theory;
  • An excellent academic record with publications in top-tier scientific journals and conference proceedings;
  • Fluency in statistical learning and representation learning, including deep neural networks, matrix factorization, sparse coding, generative models;
  • Fluency in state-of-the-art machine learning tools (Tensorflow, Pandas, Caffe);
  • Fluency in English and excellent scientific writing skills;
  • Experience with high-dimensional data, including image/video data, 3D video data, multimodal visual data (radar imaging, hyperspectral imaging).

Offer

As an employee of the Vrije Universiteit Brussel your days will be spent in a dynamic, diverse and multilingual environment. Both our campuses are set within green oases on the outskirts of the centre of the capital of Flanders, Belgium and Europe. This centre, with all its opportunities, is within your reach by public transport in under half an hour.

Depending on your experience and academic merits you will receive a salary on one of the pay scales laid down by the government. Hospitalization cover and free use of public transport for travel to and from work are standard conditions of employment. If you would rather cycle to work, compensation is also available for that. Both campuses have extensive sporting facilities, which are at your disposal, and a nursery is within walking distance.

More information is available at www.vub.ac.be under the heading ‘future employees’.

Planned starting date: 01/09/2019

Length of contract: 2 years, renewable

Deadline for application: 10/04/2019

Applications can only be submitted online (via the website of the Vrije Universiteit Brussel)

All applications must at least include the following attachments:

  • A brief CV
  • Comprehensive details of academic portfolio
  • List of 5 most important publications (in case of Post-Doc)
  • A concise statement of the reason for applying
  • Copy of the highest diploma

APPLY NOW

  • Placed on: Fri 15 March 2019
  • Location: Brussels

Interested?

For more information:
Call TANJA THIJS
at the number: +32 2 629 28 72

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Despite the success of deep learning in various tasks, its limiting factor is that its theoretical understanding remains underdeveloped, which in turn translates into a lack of principled methods to design efficient deep-neural-network architectures. This postdoctoral opening...

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