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PhD candidate: Artificial Intelligence for the Cultural Industries

The Entrepreneurship and Innovation section of the Amsterdam Business School (ABS)is looking for a PhD candidate for an interdisciplinary project in …

meer dan een jaar geleden


Roetersstraat, Amsterdam, Noord-Holland
Tijdelijk contract / Tijdelijke opdracht
Uren per week:
38 - 38 uur
€ 2325 - € 2972 per maand


The Entrepreneurship and Innovation section of the Amsterdam Business School (ABS)is looking for a PhD candidate for an interdisciplinary project in the fields of computer science and business for the cultural industries.

This PhD project focuses on understanding economic and artistic success in the international visual art market. Categorization will be used as a theoretical lens, combined with advanced machine learning techniques, particularly deep learning. We aim at gaining a fine-grained understanding of the effects of explicit (e.g., genre, style, movement, and period) and implicit categories (e.g., based on the automatic analysis of visual content, text, and metadata) on art appreciation, canonization and sales at art auctions.

A novel and large-scale multimedia dataset, containing images, text, and metadata will be central to the analysis. Several consortium partners will contribute data and unique expertise, e.g., Sotheby’s, Rijksmuseum, Stedelijk Museum Amsterdam, and The Netherlands Institute for Sound and Vision.

The project will build on relevant business theories and state of the art deep learning techniques in the cultural industries by:

  • developing innovative ways of fusing and analysing highly heterogeneous content associated with visual artworks-both image and text- as well as the information on artists’ social network and the venues exhibiting their work;
  • facilitating categorization of multimedia content at higher semantic levels that go beyond e.g., color, texture, object and event detection to understanding of style, genre, and semantic theme;
  • translating relevant management science theories into predictive algorithms designed to help academics and professionals working in the cultural industries.

Successful applicants will present their research findings at prestigious management science and computer science conferences and publish in top-tier international management science journals.


Applicants for the PhD position must have an MSc in computer science, artificial intelligence, data science, econometrics or a closely related area.

Also, the successful candidate should:

  • have a background in statistics, machine learning, computer vision, and information retrieval;
  • have a keen interest in testing management science theories with large-scale real-world data;
  • have some experience with deep learning programming frameworks such as TensorFlow, PyTorch or Caffe;
  • have excellent programming skills in one or more of the following languages: Python, C, C++;
  • have excellent communication skills in English, both oral and written;
  • enjoy working in a team.


The appointment will be for 4 years, with an intermediate evaluation after 18 months. End-result should be a PhD thesis. The PhD candidate is also expected to assist in teaching.
The gross monthly salary will range from €2,325 in the first year to €2,972 in the last year. The Collective Labour Agreement (Cao) of Dutch Universities is applicable.
Ideally, the candidate will be able to start in early 2020, but this is negotiable.

For more information about the research policy at the Amsterdam Business School: ABS.

Additional information

The project team consists of dr Monika Kackovic, dr Stevan Rudinac, Prof. Nachoem Wijnberg, Prof. Marcel Worring and the consortium partners from the cultural industries.

For further information, please contact: