Open PhD fellowship

at the University of Szeged, Discrete Optimization and Data Mining Laboratory in the topic

Graph Based Data Mining

The candidate is expected to start in Fall, 2009. The position is supported by a scholarship that covers the tuition, accomodation and modest stipend for two years with a possible extension.


The University of Szeged is one of the most prestigious universities of Hungary. Its training palette embraces the fields of medicine, natural sciences, economics, arts, teacher training, engineering, food industry, horticulture and music. Research performed at the University of Szeged is significant even on international level. Applied research activity performed to fulfill orders from industrial partners is also relevant.
Discrete Optimization and Data Mining Laboratory integrates the academic research of its relevant fields of Computer Science with industrial and applied research applications. The laboratory has close relationships with research groups on life sciences and chemical informatics, as well as data mining and system developer companies.
During the last years mining of unstructured data became a relevant field both in industrial and research applications. Among seemingly unstructured data sets, hidden graph structures are proved to be very useful in the analysis. The graph representation of these data makes possible to use powerful methods of graph data mining, and also gives inspiration to develop new methods.
The PhD candidate will work on an EU co-funded project in Life Sciences in cooperation with a data mining industrial partner. The research goal is to develop efficient models and algorithms in the framework of graph based data mining, which are capable to solve real problems in the analysis of large datasets. The position is a good opportunity to combine theoretical background (discrete mathematics, algorithm design) with real-life developer knowledge.


  • Good Master's degrees in Computer Science or closely related disciplines
  • Good background in discrete mathematics and algorithms
  • Godd programming skills
  • Good knowledge of English


Interested candidates should send by email (, preferably by August, 15, 2009 :

  • an application letter, indicating research area of interest,
  • a detailed CV, including a list of completed courses and grades, and
  • an electronic copy of any relevant material.

Further information:

Miklós Krész