This PhD position at Eindhoven University of Technology (TU/e) focuses on developing advanced Visual Analytics techniques for event sequence exploration and analysis, with the goal of enabling Multi-Faceted Visual Process Analytics. The project is situated within the Department of Mathematics and Computer Science, the largest department at TU/e, and is part of the renowned Visualization cluster, which has a strong track record in high-dimensional data visualization and visual analytics. The research aims to bridge the gap between process mining—a computational approach to discovering, analyzing, and optimizing business processes from event logs—and visual analytics, which emphasizes intuitive, interactive exploration of complex, multi-dimensional data. Traditional process mining techniques often focus on control-flow and neglect other important process dimensions such as timing, spatial distribution, and resource relationships. This project seeks to overcome these limitations by integrating dynamic, interactive visual tools that make complex process data accessible and interpretable to a broader audience. The successful candidate will work on creating a unified framework that harmonizes process mining and visual analytics, unlocking deeper insights into processes by incorporating temporal, spatial, and relational aspects into visualizations. The project is supervised by dr.ir. Stef van den Elzen (Assistant Professor) and dr. Fernando Paulovich, both of whom are active in the Visualization cluster at TU/e. The cluster is internationally recognized, with award-winning contributions at major conferences and successful industry collaborations. Applicants should have a strong background in Visualization or Visual Analytics, preferably with a master’s degree in Computer Science, (Applied) Mathematics, or Electrical Engineering. Experience in process mining or event visualization is a plus, as are strong programming skills in object-oriented GUI languages such as Qt/C++, Java, or Python. Good communication skills, creativity, analytical thinking, and proficiency in English are required. The position offers a full-time, four-year contract with a competitive salary (scale P: €3,059–€3,881 per month), year-end and vacation bonuses, pension scheme, paid leave, and additional allowances for commuting, home working, and internet costs. International candidates benefit from a tax compensation scheme and support from the university’s Staff Immigration Team. The application process is online only; candidates must submit a cover letter, CV with publications, and contact details for three references. The vacancy remains open until filled, with a formal deadline of December 3, 2025. TU/e provides a dynamic, interdisciplinary, and international research environment, with excellent infrastructure and support for professional development.