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 such as loan approvals, supply chains, and patient journeys. However, its focus on control-flow analysis misses critical factors like delays, locations, and resource relationships. Visual analytics, on the other hand, excels at interpreting multi-dimensional data through techniques like timelines, Sankey diagrams, and network diagrams, enabling the discovery of dependencies and bottlenecks. The synergy between these fields offers the potential for deeper, more holistic process insights.

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 provides a vibrant academic environment, located in the Brainport Eindhoven region—a global tech hub with strong industry partnerships and R&D activity. The Mathematics and Computer Science department brings together a large community of researchers, PhD candidates, and students, fostering 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. Experience in Process Mining or Event Visualization is advantageous but not mandatory. Candidates must demonstrate creativity, analytical ability, persistence, and effective communication skills. English proficiency is required; Dutch is not necessary.

The position offers full-time employment for four years, with an intermediate assessment after nine months. Salary is in scale P (€3,059–€3,881/month), with additional benefits including a year-end bonus, vacation pay, pension scheme, parental leave, commuting and internet allowances, and support for international candidates (immigration team and tax compensation). A minimum of 10% of employment is dedicated to teaching tasks. TU/e provides high-quality training, technical infrastructure, and a supportive campus environment.

To apply, submit your application online via the provided link. Include a cover letter, CV with publications, and contact information for three references. Applications sent by email or post will not be processed. Screening begins as applications are received, and the vacancy remains open until filled. For further information, contact Assistant Professor Stef van den Elzen or [email protected].