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

This PhD position at Eindhoven University of Technology focuses on advancing Multi-Faceted Visual Process Analytics by integrating Visual Analytics and Process Mining. The project aims to develop innovative techniques for event sequence exploration and analysis, transforming how complex business processes are visualized and understood. Traditional process mining methods often overlook dimensions such as temporal, spatial, and resource-related aspects, relying on static representations that limit accessibility and interpretation. By leveraging dynamic, interactive visual tools, this research seeks to make process data more intuitive and actionable for a broader audience.

Process mining is a branch of business process management that extracts insights from event logs, revealing patterns, deviations, and inefficiencies in workflows like loan approvals, supply chains, and patient journeys. However, its focus on control-flow neglects other critical process attributes. Visual analytics, on the other hand, provides powerful tools for interpreting multi-dimensional data, enabling the discovery of dependencies, bottlenecks, and anomalies through visualizations such as timelines, Sankey diagrams, and network diagrams. The synergy between these fields offers significant opportunities for deeper insights and improved guidance during data exploration.

The project is conducted within the Visualization cluster at TU/e, supervised by Assistant Professor Stef van den Elzen and Dr. Fernando Paulovich. The cluster is renowned for its contributions to high-dimensional data visualization, award-winning research, and successful start-ups. TU/e is located in Brainport Eindhoven, a world-leading tech region with strong R&D activity and collaborations with high-tech industries. The Mathematics and Computer Science department brings together a vibrant academic community and fosters both fundamental and applied innovation.

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. Programming skills in object-oriented GUI languages (Qt/C++, Java, Python, etc.) are essential. Candidates must be creative, analytical, persistent, and possess good communication skills. English proficiency is required; Dutch is not necessary. The position offers full-time employment for four years, competitive salary and benefits, high-quality training, and support for international candidates.

To apply, submit your application online via the provided link, including a cover letter, CV with publications, and contact information for three references. The vacancy remains open until filled. For further information, contact Assistant Professor Stef van den Elzen or HRServices.MCS@tue.nl.