PhD position BrandLoyalty Mining Customer Behavior (V32.2642)

In the context of the joint research programs under the umbrella of JADS, Data Science Center Eindhoven (DSC/e) among BrandLoyalty, we are looking for one PhD student interested in “Mining Customer Behavior to Increase the Effectiveness of Loyalty Programs and Promotions (MiCuB)”.

Position PhD-student
Departments Department of Mathematics & Computer Science
Institutes Data Science Center Eindhoven
FTE 1,0
Date off 31/07/2016
Reference number V32.2642

Job description


The Data Science Centre Eindhoven (DSC/e) is TU/e’s response to the growing volume and importance of data and the need for data & process scientists ( BrandLoyalty aims to build and improve customer engagement, which requires a deep understanding of customer behavior.

Understanding of customer behavior has never been easier than now. We are in new era of Big Data: With the rise of mobile and social technologies, customers are always-connected and can find information in seconds. This enables one to gain much more detailed and direct information on customer behavior.

Mining Customer Behavior:

The Ph.D. student will focus on capturing customer behavior in process models. These models will allow us to better understand the behavior and to systematically explore ways of influencing this through promotions, loyalty programs, and mobile applications (e.g., IceMobile's technology). The MiCuB project will cover a broad range of questions, such as “Did sales increase?”, “Was the program successful?”, “What has influenced the (un)success?”, “Will the targets be reached?”, “What is the best that could happen?”.

Process mining techniques can be used to extract process-related information from event logs. Process mining is the linking pin between data science, which tends to discard the process-related aspects, and process science, which conversely tends to be driven by models without considering the “evidence” in the data. Process mining aims to bridge this gap. Process mining seeks the confrontation between event data (i.e., observed behavior) and process models (hand-made or discovered automatically). The interest in process mining is rising as it is reflected by the growing numbers of publications, citations and commercial tools (Disco, ARIS PPM, QPR, Celonis, SNP, minit, myInvenio, Perceptive, etc.). In the academic world, ProM is the de-facto standard ( and research groups all over the world have contributed to the hundreds of ProM plug-ins available. This platform will be used to first test ideas that could later be implemented in BrandLoyalty's core IT systems.

Job requirements

We are looking for a candidate that meet the following requirements:

  • possesses a solid background in Computer Science, Data Science, or Mathematics (demonstrated by a relevant Master);
  • has a strong background in data mining and/or Business Process Management and Mining;
  • has a strong interest in data science research;
  • has strong skills in software development to be able ability to realize research ideas in terms of software prototype;
  • is highly motivated, rigorous, and disciplined when developing algorithms and software according to high quality standards;
  • has good communication skills in English, both in speaking and in writing (candidates from non-Dutch or non-English speaking countries should be prepared to prove their English language skills);
  • is an efficient team worker.

The PhD student is expected to:

  • perform scientific research in the domain described
  • collaborate with other researchers in this project
  • present results at (international) conferences
  • publish results in scientific journals
  • participate in activities of the group and department, at both sites
  • assist in teaching undergraduate/graduate courses
  • participate in doctoral training on relevant topics
  • be willing to spend 1 day per week at the BrandLoyalty premises in 's-Hertogenbosch to discuss the requirements and the research’s findings with company stakeholders
  • provide training to internal specialists at BrandLoyalty

Conditions of employment

We offer:

  • A full time temporary appointment for a period of 4 years, with an intermediate evaluation after 9 months;
  • A gross salary of € 2.174 per month in the first year increasing up to €2.779 in the fourth year;
  • Support for your personal development and career planning including courses, summer schools, conference visits etc.;
  • A broad package of fringe benefits (e.g. excellent technical infrastructure, child daycare and excellent sports facilities).

Information and application

More information

  • or more information about this position contact Dr. Massimiliano de Leoni (Assistant Professor), e-mail: or by telephone: +31 40 247 8430
  • For more information about the employment conditions contact drs. Charl Kuiters (HR advisor), e-mail: or by telephone: +31 40 247 2321.

The application should consist of the following parts:

  • Cover letter explaining your motivation and qualifications for the position (the letter should also show an understanding of process mining and the work done within AIS, see websites such as and the book “Process Mining: Discovery, Conformance and Enhancement of Business Processes”);
  • Detailed Curriculum Vitae;
  • List of courses taken at the Bachelor and Master level including marks;
  • List of publications and software artefacts developed (if applicable);
  • Names of at least three referees.

Please apply by using the 'Apply now' button on top of this page. Applications submitted by e-mail will not be considered.