[AISWorld] Do you want to do a PhD on mining customer behavior in a unique collaboration between BrandLoyalty and TU/e? (deadline Feb. 28th)

[Aalst, W.M.P. van der]

Do you want to do a PhD on mining customer behavior?

Unique collaboration between BrandLoyalty and TU/e

Apply via http://jobs.tue.nl/en/vacancy/phd-position-on-process-mining-in-customer-behavior-298469.html (deadline Feb. 28th)

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.

The PhD working on Process Mining in Customer Behavior will be employed by the AIS research group (http://www.win.tue.nl/ais/) which is part of the Data Science Centre Eindhoven (DSC/e, http://www.tue.nl/dsce/). DSC/e and Tilburg University collaborate in the context of JADS (Jheronimus Academy of Data Science). Together with BrandLoyalty (http://www.brandloyalty-int.com/) a joint research program has been created. Within this research program are three PhD positions, all sponsored by BrandLoyalty, that work towards better analytical capabilities taking advantage of the wealth of (typically anonymized) customer data. To improve customer engagement, process mining is used to get a deep understanding of actual customer behavior. In fact, understanding of customer behavior has never been easier than now. With the rise of mobile, social, and big data 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.

The "Mining Customer Behavior to Increase the Effectiveness of Loyalty Programs and Promotions (MiCuB)" PhD position will focus on process mining, i.e., the analysis of timestamped customer data.

The PhD 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. 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?". Candidates with excellent data science skills (any form of mining, machine learning, data warehousing) are encouraged to apply.

If you are interested please apply via http://jobs.tue.nl/en/vacancy/phd-position-on-process-mining-in-customer-behavior-298469.html. Use the 'Apply now' button. Please do not send applications via e-mail. These will be discarded. The reference number of this position is V32.2799<http://jobs.tue.nl/en/vacancy/phd-position-on-process-mining-in-customer-behavior-298469.html>. The deadline is on February 28th 2017.

Looking forward to receive your application!

Wil.
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Wil van der Aalst
Eindhoven University of Technology
WWW: vdaalst.com<http://www.vdaalst.com/>
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