Archive of Vacancies

PhD position on Predictive & Prescriptive Process Mining in Logistics (V32.3110)

In the context of the joint research program between the Data Science Centre Eindhoven (DSC/e) and Vanderlande, we are looking for a PhD student interested in “Process Mining in Logistics Processes and Automated Material Handling Solutions” with the aim to develop novel predictive and prescriptive process mining techniques.

Position PhD-student
Departments Department of Mathematics & Computer Science
FTE 1,0
Date off 07/01/2018
Reference number V32.3110
Apply now

→ Read more...

PhD TACTICS (Techniques for the Analysis of Client-Team InteraCtionS) (V32.3080)

In the context of the newly funded TACTICS (Techniques for the Analysis of Client-Team InteraCtionS) research project, we are looking for a PhD candidate with a strong background in process mining and/or data mining. The topic of the research is the development of techniques for the derivation of client status from available operational data of a healthcare provider.

Position PhD-student
Departments Department of Mathematics & Computer Science
Institutes Data Science Center Eindhoven
FTE 1,0
Date off 31/12/2017
Reference number V32.3080

Apply now

→ Read more...

PhD Position on Process Mining in Customer Behavior

Unique collaboration between BrandLoyalty and the Jheronimus Academy of Data Science

Consumers can shop for anything, anywhere, anytime and with anyone. Therefore, retailers need to compete on analytics and must analyze customer data carefully. BrandLoyalty is the global leader in providing innovative, incentive-driven loyalty programs designed to drive immediate improvements in retail performance. BrandLoyalty is working together with JADS (Jheronimus Academy of Data Science) to improve its analytical capabilities. As part of a joint research program we are looking for a PhD student interested in the project “Mining Customer Behavior to Increase the Effectiveness of Loyalty Programs and Promotions (MiCuB)”. The goal of this project is to apply existing process mining techniques to BrandLoyalty’s data and develop new techniques tailored to the analysis of customer behavior.

→ Read more...

Older entries >>