PhD Student Positions in Business Process Management @ University of Tartu

Published on 4 February 2017

The Software Engineering & Information Systems Group at University of Tartu has two PhD openings on the following topics:

  1. Automated discovery of declarative process models: Developing machine learning and model synthesis methods to extract process models from event logs produced by enterprise software systems.
  2. Privacy-aware process mining: developing methods to analyze event logs produced by enterprise software systems (including customer data) while limiting the amount of private information leakage.

We are looking for expressions of interest from Masters graduates or Masters students who intend to graduate by the summer of 2017. Preference will be given to students with high GPA, and applicants who can demonstrate a solid background in programming, algorithmics, data and process modeling, machine learning and/or information security, depending on the selected topic.

Each PhD position comes with a scholarship of 1100 euros/month net for a period of four years. The successful candidate will be embedded within the group, which consists of 8 staff members and 12 PhD students. The group conducts world-leading research in the fields of business process management and process mining. In 2016, the group won best/distinguished paper awards at three major information systems engineering conferences: CAiSE, BPM and ER, in addition to four other awards in the past five years.

Interested candidates are encouraged to contact the corresponding supervisors to obtain further information (please include your CV):

  • Topic 1: Fabrizio Maggi f.m.maggi št ut.ee
  • Topic 2: Raimundas Matulevičius Raimundas.Matulevicius št ut.ee

The deadline for applications is 1 March, but interested candidates are encouraged to contact the above supervisors at least two weeks before in order to prepare their applications.

The official application procedure is available at: http://www.ut.ee/en/admission-computer-science-phd-programme