Assistant Professor Data Science & Technology

The faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS)

comprises three disciplines that shape Information and Communication Technology. ICT is more than communication. In almost every product we use mathematics, electronics and computer technology and ICT now contributes to all of societies' activities. The faculty works together intensively with industrial partners and researchers in the Netherlands and abroad and conducts extensive research for external commissioning parties and funders. The research which enjoys a high profile both at home and internationally, has been accommodated in the multidisciplinary research institutes MESA+, CTIT and MIRA.

 The Challenge

The world is rapidly becoming data-driven, more than ever before. Raw data is available from very different sources, its quality differs widely, it may be streamed at very high rates, or stored in huge, slowly accessible data stores. By-and-large, extracting information from data has always been, and will continue to be, in demand for a variety of analytical purposes. The mission of the Database group is to develop methods and technology that efficiently, effectively and securely retrieve and extract information from large unstructured data sources. Arriving at a high quality of information is our founding principle.

Within the group, we currently cover the following areas of expertise:

  • Probabilistic models for information retrieval and data quality
  • Models for federated search and web harvesting
  • Search and analysis in encrypted data
  • Methods for empirical evaluation of information retrieval methods

We apply our expertise in cooperation with partners from other domains, in order to develop new technology in the context of real-world data and analytics. Our current focus domains are Social Media Analytics, Open Source Intelligence, Health, Social Sciences and Creative Industry. Obviously, partner domains change over time, yet we invariantly value research in a multi-disciplinary context.

Your profile

To expand and strengthen our areas of expertise we are looking for a colleague at the level of assistant or associate professor. We expect a candidate to bring added value to what the group has to offer, for example, in machine learning, big data, or natural language processing. Scientific excellence is a must and should be demonstrated by high-quality output. A successful candidate will also demonstrate her or his intrinsic motivation and strong abilities for teaching at the bachelor and masters level. We value a vision on academic teaching, blending the physical and digital experience. The candidate should have excellent communication skills, allowing efficient interaction with colleagues.

Summery candidate profile

  • A PhD in Computer Science or a related discipline
  • Strong abilities for high-quality research and teaching in a multi-disciplinary context
  • Has obtained (an equivalent of) the Dutch Basic Teaching Qualification (BKO) or is willing to do so.
  • Capable of strengthening the Database group
  • Effective in acquiring external funding

Our  offer

We offer you a temporary position of assistant or associate professor for three years.  

The terms of employment are in accordance with the Dutch Collective Labour Agreement for Universities (CAO). Depending on relevant background and experience, the gross monthly salary on a full time basis ranges from € 3,400 to €5,780 gross per month. Employees are also entitled to a holiday allowance of 8% of the gross annual salary and a year-end bonus of 8,3%.  

We offer excellent auxiliary terms of employment, such as professional and personal development programs; a secondary remuneration package; a dynamic environment with enthusiastic colleagues; an organization focusing on internationalization and a high degree of responsibility and independence.

Information and applications

Applications (including CV, list of publications, research statement and tree names of potential references) can be submitted online before the 1st of May 2017.

For more information please contact M. van Keulen (phone +31534893688, email ).

Assistant Professor Data Science & Technology