TU Eindhoven: Multiple PhD vacancies on Process Mining

Several PhD vacancies for people with a strong background in data mining, machine learning, process analytics, predictive analytics, or Big Data.

TU/E, Technical University EindhovenAt: TU/E, Technical University Eindhoven
Location: Eindhoven, Netherlands
Web: w3.tue.nl/en/

Data science, and process mining in particular, is growing in importance. Therefore, we have several PhD vacancies for people with a strong background in data mining, machine learning, process analytics, predictive analytics, or Big Data. Currently, we are looking for:

PhDs working on Process Mining/Data Mining/Data Science

The AIS group is one of the leading groups in the exciting new field of process mining (www.processmining.org).

Process mining techniques focus on process discovery (extracting process models from event logs), conformance checking (comparing normative models with the reality recorded in event logs), and extension (extending models based on event logs). The work resulted in the development of the ProM framework that is widely used in industry and serves as a platform for new process mining techniques used by research groups all over the globe. Moreover, many of the techniques developed in the context of ProM have been embedded in commercial tools. See also www.processmining.org.

The Data Science Centre Eindhoven (DSC/e) is TU/e's response to the growing volume and importance of data www.tue.nl/dsce/ .

For example, in TU/e's Impulse program we collaborate with innovative organizations such as Perceptive Software on topics related to data science and process mining.

In the context of various research projects we are looking for several PhDs working on process mining and related topics:

  • We are looking for a PhD working on Big Data and process mining. Events are growing and detailed analysis based on formal and precise models is often infeasible without distribution or innovative mining approaches.
  • We are looking for a PhD working on concept-drift analysis in process mining. Process models are changing while being analyzed. This requires techniques coping with "second-order dynamics".
  • We are looking for a PhD working on the application of process mining to health-related data generated by a variety of devices (movements, heart rate, blood pressure, etc.).
  • We are looking for a PhD working on the new process cube notion where ideas from process mining, big data, and OLAP technologies are combined to answer a variety of questions. Event data are sliced and diced and one can drill-down to apply more detailed process mining analyses. This is also closely related to managing collections of process models, dealing with huge data sets, and distributed process mining.
  • We are looking for a PhD working on analysis techniques that help organizations to detect trends within their own operations on the basis of the hybrid and vast amounts of data that are processed and stored by the enterprise systems they use. The idea is to integrate outcomes from process mining analyses, social network analyses, and natural language processing to obtain new insights on how they perform as a whole and for specific departments/products/customers.


We are looking for candidates that meet the following requirements:

  • a solid background in Computer Science or Information Systems with an interest in process mining;
  • knowledge of data mining, machine learning, process analytics, predictive analytics, or Big Data. (demonstrated by a relevant Master);
  • candidates from non-Dutch or non-English speaking countries should be prepared to prove their English language skills;
  • good communicative skills in English, both in speaking and in writing;
  • moreover, candidates are expected to realize research ideas in terms of prototype software, so software development skills are needed.

Note that we are looking for candidates that really want to make a difference and like to work on things that have a high practical relevance while having the ability to work in one of the strongest research groups in the world. Moreover, we would like to prepare candidates for interesting data science related jobs (sometimes referred to as "the most sexy job of this century") in both academia and industry.

Appointment and salary:

PhD's will be employed by the TU/e using the standard conditions for Dutch universities.

More information on working at TU/e, salary, etc..

Application: Interested candidates are requested to send an application by e-mail to Ine van der Ligt, e-mail: wsinfsys@tue.nl with the subject field "Process Mining Vacancies AIS".

The application should consist of the following parts:

  • motivational letter;
  • a curriculum vitae;
  • copies of diplomas.

Applications should be received by December 8th, 2013. In the application, candidates should relate their expertise to the topics mentioned (cf. www.processmining.org ) and describe their language and software development skills.