PhD in Multi-Faceted Visual Process Analytics at Eindhoven University of Technology Eindhoven University of Technology in Netherlands

PhD position in Multi-Faceted Visual Process Analytics at Eindhoven University of Technology (TU/e), within the Visualization cluster and the Department of Mathematics and Computer Science.

The project sits at the intersection of Visual Analytics, Event Sequence Visualization, and Process Mining. The research aims to develop new visual analytics techniques for exploring and analyzing event sequences and complex processes, combining visualization with process mining to better understand temporal, spatial, and relational aspects of process data.

Supervision is by Stef van den Elzen and Fernando Paulovich. The visualization group at TU/e has a strong international track record in visualization and visual analytics, with contributions at major conferences such as IEEE VIS, InfoVis, VAST, and EuroVis.

This is a fully funded 4-year PhD position with full-time employment. Salary follows the Dutch university collective agreement, scale P, with a monthly range of €3,059 to €3,881, plus benefits such as a year-end bonus, vacation pay, pension, leave provisions, commuting/work-from-home support, and possible tax compensation for international candidates.

Eligibility highlights include a strong interest in visualization and visual analytics, preferably a master’s degree in Computer Science, Applied Mathematics, or Electrical Engineering, strong programming skills in Qt/C++, Java, or Python, good communication skills, and the ability to work in a multidisciplinary team. Experience with process mining or event visualization is welcome but not required. English proficiency is required; Dutch is not required.

Apply online through the TU/e vacancy page. The application should include a cover letter, CV with publications, and contact details for three references. The vacancy remains open until the position is filled.