Summary
Join the Department of Mathematics and Computer Science at TU Eindhoven for a PhD position focused on transforming the analysis and visualization of complex processes through advanced Visual Analytics techniques.
PhD on Multi-Faceted Visual Process Analytics, Netherlands
Designation
PhD Candidate in Multi-Faceted Visual Process Analytics
| Position Details | Information |
|---|---|
| Employment Type | Full-time (1.0 FTE) |
| Salary | €3,059 – €3,881 |
| Duration | 4 years |
| Start Date | Until filled |
Research Area
Visual Analytics, Event Sequence Visualization, and Process Mining
Location
Technische Universiteit Eindhoven (TU/e), Netherlands
Eligibility/Qualification
- Master’s degree in Computer Science, (Applied) Mathematics, or Electrical Engineering.
- Experience or strong background in Visualization or Visual Analytics is preferred.
- Programming skills in object-oriented GUI languages (Qt/C++, Java, Python, etc.).
- Strong communication skills and ability to work in a multidisciplinary team.
- Creative, critical, analytical, hardworking, and persistent mindset.
Job Description
The project aims to develop techniques for integrating Visual Analytics and Process Mining to enhance the understanding of complex processes. The PhD candidate will work under the supervision of Dr. Stef van den Elzen and Dr. Fernando Paulovich and will focus on creating interactive visual tools for process analysis and optimization.
How to Apply
Interested candidates should submit their application including:
- A cover letter describing motivation and qualifications.
- Curriculum vitae with a list of publications and contact information for three references.
Applications must be submitted online. Applications sent via email or post will not be processed.
Last Date to Apply
Open until the position is filled.
For more information, please contact:
- Hiring Manager: Dr. Stef van den Elzen at s.j.v.d.elzen@remove-this.tue.nl
- HR Service: HRServices.MCS@remove-this.tue.nl
Explore this exciting opportunity to contribute to innovative research in a dynamic interdisciplinary environment!
