PhD Position in Process Analytics: The Research Centre for Information Systems Engineering (LIRIS) at KU Leuven is offering a prestigious PhD scholarship aimed at utilizing machine learning and AI for analyzing event logs in information systems. This position seeks an individual passionate about research in data science, business process management, and related fields.
PhD Position in Process Analytics using Machine Learning and AI
Designation
PhD Candidate in Process Analytics
| Details | Information |
|---|---|
| Research Group | Research Centre for Information Systems Engineering (LIRIS) |
| Supervisors | Prof. Johannes De Smedt, Prof. Jochen De Weerdt |
| Duration | 4 years, full-time |
Research Area
- Data Science
- Business Process Management
- Information Systems
- Machine Learning
- Prescriptive and Predictive Analytics
Location
KU Leuven, Brussels & Leuven, Belgium
Eligibility/Qualification
- Master’s degree in Operations Research, Business Engineering, Statistics, Applied Mathematics, Computer Science, or equivalent
- Strong interest in information systems, machine learning, statistics, and/or data science
- Proficiency in written and spoken English
- Experience with at least one programming language is an asset
- Excellent academic results (honors-level or better)
- Candidates must meet admission requirements for the PhD program
Additional Requirements:
- GRE or GMAT score above the 75th percentile on the quantitative section (for international candidates)
- TOEFL (minimum score: 575 paper-based, 233 computer-based, 90 internet-based) or IELTS (minimum score: 7), both not older than 5 years
Description
The research project will explore the analysis of event logs generated during process executions in various domains (e.g., loan applications, healthcare). The focus will be on developing both predictive and prescriptive models using machine learning techniques to improve understanding of event outcomes from a multi-faceted perspective. The candidate will engage in cutting-edge research aimed at enhancing the decision-making processes using data-driven approaches.
How to Apply
Interested candidates must submit their applications through KU Leuven’s online application tool. Required documents include:
- Transcripts from Bachelor’s and Master’s studies (or intermediate transcripts if applicable)
- Motivation letter detailing fit for the position
- Curriculum Vitae (CV) in PDF format
- Optional: Publication list, photo, or additional attachments
Note: Applications sent via other means will not be considered.
Last Date to Apply
May 31, 2025, 23:59 CET
For more information, feel free to contact Prof. dr. Johannes De Smedt at johannes.desmedt@kuleuven.be.
