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Vrije Universiteit Brussel (VUB)
IR/2019/002 - 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/2019/002 - 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

Massive amounts of information are constantly produced and can be harvested from various sources, ranging from wireless sensor and mobility APIs in smart cities to public open datasets and social media. This data deluge calls for effective methods to extract knowledge from a corpus of time-varying, heterogeneous data. This postdoctoral opening focuses on research around artificial intelligence for big data applications. Specifically, the research revolves around new designs and theory for interpretable deep neural networks, which promote the underlying structure in the data (expressed, for example, by graphs, sparsity or low-rank properties), and perform intermediate fusion of diverse types of data (environmental data, mobility data, social media data). The research covers areas including geometric deep learning, deep unfolding, graph/matrix completion, and interpretable deep learning. The research is driven by big data applications for smart cities (hyperlocal air-pollution estimation, traffic event detection), and social media data analysis (fake news detection, user geolocation).

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/).

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 multiview geometric deep learning with application in AI for big data;
  • 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 on nedligia@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, learning on graphs, generative models, matrix factorisation;
  • Fluency in state-of-the-art machine learning tools (Tensorflow, Pandas, Caffe);
  • Fluency in English and excellent scientific writing skills;
  • Experience with mobility or environmental data and/or, high-dimensional data, such as image/video data, or social media data (e.g., user graphs, text).

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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