Full Professor Database Technology (V32.2865)

Full Professor Database Technology

Position
Professor
Departments
Department of Mathematics & Computer Science
Institutes
Data Science Center Eindhoven
FTE
1,0
Date off
30/04/2017
Reference number
V32.2865

Job description

Background
The Data Science Center Eindhoven (DSC/e) is an initiative of the Eindhoven University of Technology (TU/e) to set up a world leading research and education program in data science. Obviously, Database Technology plays a key role in data science (research, education, and valorization) and is now embedded within the Web Engineering (WE) group. Given the growth of data science at TU/e, it is essential to have a chair on Database Technology.

In many of the DSC/e disciplines TU/e is already world class as shown by the number of publications and citations, and the impact in industry. New educational programs have been set up related to data science, with international visibility (see the recent Mariënburg, ‘s-Hertogenbosch initiative shared with Tilburg University). Database Technology as a discipline is represented by internationally well-recognized and influential researchers but it is currently still a too small niche within the TU/e (and DSC/e) and therefore requires further strengthening given its importance. What is lacking is a dedicated Database Technology research group led by a full-professor focusing completely on Database Technology. Clearly, conducting data science is impossible without studying Database Technology: how to structure, store, select and retrieve data is at the very core of data science and therefore essential for DSC/e.

Hence, the need for a Chair in Database Technology.

In the “established” education Database Technology and data management play a role in almost all variations offered by the bachelor and master programs in computer science. Data Modeling and Databases are core topics in both the Software Science and Web Science ajors within the bachelor program. Database Technology or Data Engineering are core topics in most options within the master programs in Computer Science and Engineering, Data Science in Engineering and Business Information Systems. Further diversification of the Database Technology & data management teaching portfolio is expected considering the new Data Science bachelor initiative and the Data Science master and PDEng programs jointly offered by Tilburg University and the TU/e since Sept. 2016.

Currently there are three expertise areas in the Section Information Systems: Architecture of Information Systems (AIS) led by prof. Wil van der Aalst, Data Mining (DM) led by prof. Mykola Pechenizkiy and Web Engineering (WE) led by prof. Paul De Bra. The AIS research group investigates methods, techniques and tools for the design and analysis of process-aware information systems, i.e., systems that support business processes (workflows) in organizations. The DM research group studies foundations and applications of data mining, machine learning including deep learning, recommender systems and web analytics. The WE research group studies basic database technologies such as storage, indexing and querying of semi-structured data (often graph-structured and represented as xml or rdf), user modeling and adaptive hypermedia, to create automatically personalized web experiences.

The WE group currently focuses on database technology, data engineering and personalization and adaptation. The appointment of a new professor in Database Technology will complete the transition process towards a group focused entirely on database technology and engineering, and a renaming to Database Technology (DT).

Research area
The field of Database Technology should be interpreted in a broad way and as the full professor you will focus on a subarea of choice, but should be a world-leading expert in this area. Current research in Database Technology already being covered includes the management of massive graph structured data sets, such as social networks and linked web data. The area of specialization of the new chair should complement the work done within the Section Information Systems. The focus of the new professor can be more systems, theory or algorithms oriented.

The candidate should be an authority in a core area of Database Technology, and be able to teach courses on all basic topics within the broader Database Technology field (including Big Data Analytics, Data Warehousing/OLAP, Web Data Management, Data-driven Web applications, and Database systems). Next to this, we expect the candidate to have a clear and compelling world-class research agenda. Again, the precise research focus is left open, but it should be complementary to the  existing groups.


Collaboration
The new professor will assist in further developing the data science and web science community at TU/e. Collaborations with the following groups are envisioned: Architecture of Information Systems (AIS), Data Mining (DM), Probability and Statistics (P&S), Information Systems (IEIS-IS), Visualization (VIS), Algorithms (ALG/AGA), and Operations, Planning, Accounting and Control (OPAC). The new chair is expected to contribute to the various Computer Science degree programs and to the DSC/e Research Programs.


Tasks

  • Initiate and conduct scientific research at the forefront in Database Technology (demonstrated by publications in the top conferences and journals in the field such as SIGMOD, ICDE, EDBT, ICDT, PODS, ISWC, ESWC, WWW, and VLDB).
  • Develop and give courses on topics related to Database Technology and Data Intensive Systems.
  • Play a leading role in the further development of the Data Science Center Eindhoven (DSC/e), e.g., leading a DSC/e research track and contribute to curriculum development.
  • Collaborate with research groups in IS, DSC/e, NIRICT and the research school SIKS and use these networks to develop new initiatives.
  • Acquire external research grants (national and European).
  • Supervise PhD, PDEng and MSc students.
  • Maintain and expand contacts with industrial and research partners in the Brainport region, the Netherlands and abroad.


 

Job requirements

Requirements
The candidate should have a deep and broad insight in the research domain of Database Technology and should be actively involved in the research area at an international level. This should be demonstrated by the number of citations and strong publications in the top conferences and journals in the Database Technology field. We also value candidates that can bridge the traditional gap between theoretical research and real-life applications. The candidate should fulfill the usual demands for a professor, more specifically towards:

Research

  • A PhD in Computer Science.
  • Experience in scientific research, as reflected in international refereed scientific publications.
  • International recognition by experts in the field, for instance demonstrated by participation in program committees.
  • Experience in coaching (content-wise) research work of others.
  • Experience in the initiation of research projects and acquisition of the necessary funding.

Education

  • Teaching experience inside or outside of a university on an academic level, preferably in a core position teaching the particular field of study.
  • Proven didactic qualifications or inspiring personality as a teacher.
  • Experience in developing teaching components.

Personal competences

  • Proven cooperation skills;
  • Experienced supervisor with excellent managerial skills;
  • Goal- and results-oriented and implements initiatives;
  • A motivating and inspiring personality both within and outside TU/e;
  • Vision, persuasiveness, environmental orientation and manages by objectives.

As a member of the teaching staff of the department the chair either has or is willing to follow the training to obtain the basic teaching qualification for academic staff (BKO).

Conditions of employment

Appointment
The appointment involves a full-time professor ‘Database Technology’ (1.0 fte) in conformance with the Collective Labour Agreement Dutch Universities.

We offer

  • A challenging job in a dynamic and ambitious university and a stimulating research environment;
  • Support with your professional and personal development;
  • A gross salary between € 5.219 and € 9.174 per month depending on experience and knowledge, plus 8% holiday allowance and 8.3% end-of-year allowance;
  • An extensive package of fringe benefits (e.g. support in moving expenses and commuting expenses, excellent technical infrastructure, oncampus child care, and excellent sports facilities).

Information and application

Information and application

More information about the chair/research and teaching aspects of this position please contact prof. dr. Paul De Bra, email: debra@win.tue.nl.

More information about the employment conditions of this position please contact P. Hertogs LLM, MSc., HR advisor, e-mail: pzwin@tue.nl.

Please send us your application before May 1, 2017 by using the “APPLY NOW” button on top of this vacancy text.