Postdoctoral Researcher in Explainable AI for Multimodal Visual Computing

Країна: Бельгія;

Місто: Brussels

Додана: 09.03.2019


Тип: PostDoc vacancy;

Дедлайн подачі: 10.04.2019


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 ( at the Department of Electronics and Informatics ( 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 (

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.

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).

We are offering a two-year position, extendable further subject to performance, including a competitive salary and benefits. The successful candidate will work in an international scientific environment driven by excellence in fundamental research. The position provides a great opportunity to the researcher to work in close collaboration with established companies in the domains of aerospace, manufacturing, surveillance and security.

Interested candidates can send: (i) a detailed curriculum vitae; (ii) a motivation letter related to the position’s profile; (iii) electronic copies of three key scientific publications; and (iv) the names of two potential referees by April 10, 2019 to the following contact person:

Prof. Dr. Nikos Deligiannis

Vrije Universiteit Brussel – imec

Pleinlaan 2, Brussels 1050, Belgium
Tel.: +32 2 629 1683


Куди надсилати резюме:
Куди надсилати резюме: