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

Eindhoven University of Technology (TU/e) is offering a fully funded PhD position in Multi-Faceted Visual Process Analytics within the Department of Mathematics and Computer Science. The research focuses on developing advanced Visual Analytics techniques for event sequence exploration and analysis, bridging the fields of Process Mining and Visualization. The project aims to create a unified framework that leverages dynamic, interactive visual tools to make complex process data accessible and actionable, moving beyond traditional static representations.

The successful candidate will work within the award-winning Visualization cluster at TU/e, supervised by Stef van den Elzen and Fernando Paulovich, both recognized experts in the field. The cluster has a strong track record in high-dimensional data visualization and has contributed to major conferences and industry applications. Applicants should hold a Master's degree in Computer Science, Mathematics, or Electrical Engineering, and possess strong programming skills in languages such as Qt/C++, Java, or Python.

Experience in Process Mining or Event Visualization is advantageous but not mandatory. The position offers a competitive salary (€3,059–€3,881 per month), a comprehensive benefits package including bonuses, pension, paid leave, and tax advantages for internationals, as well as access to excellent training and research infrastructure.

The PhD contract is for four years, with a teaching component and opportunities for professional development. Applications must be submitted online via the TU/e portal, including a cover letter, CV with publications, and contact details for three references.

The deadline is December 3, 2025, but applications are reviewed on a rolling basis until the position is filled. For more information, candidates can contact the supervisor or HR services. TU/e is an internationally top-ranking university known for its collaborative and innovative research environment.