This PhD project at Eindhoven University of Technology focuses on developing advanced Visual Analytics techniques for the exploration and analysis of event sequences, with the goal of enabling Multi-Faceted Visual Process Analytics. The research aims to bridge the gap between process mining—a field within business process management that extracts insights from event logs—and visual analytics, which specializes in the interpretation of complex, multi-dimensional data through interactive visualization. Traditional process mining techniques often emphasize control-flow analysis, neglecting 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 research will explore the synergy between process mining and visual analytics, developing new frameworks and techniques that incorporate temporal, spatial, and relational aspects of processes. The project is embedded within the Visualization cluster at TU/e, a group with a strong international reputation for high-impact research in visualization and visual analytics, and a history of award-winning contributions and successful technology transfer. Supervision is provided by Dr.ir. Stef van den Elzen and Dr. Fernando Paulovich, both recognized experts in the field. The successful candidate will have the opportunity to contribute to cutting-edge research, collaborate with leading academics, and develop tools that can transform the way complex processes are analyzed and visualized across domains such as business, healthcare, and supply chain management. The application process is managed via Academic Transfer, and interested candidates should follow the provided link for further details and to submit their application.