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Section Information Systems (IS)

Information on Job Openings

PhD student working on Process Mining in Personal Health

Within a “Mine your own body” Impuls program of TU/e aiming at supporting excellent research and more intensive collaboration with innovative organizations such as Philips Research.

The IS 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.

In the context of the “Mine your own body” Impulse program we are looking for a PhD student working on process mining to create systems for Smart Diagnosis. Thanks to the latest developments in wearable sensors technology, it becomes possible to monitor physiological signals (heart rate, skin temperature, skin conductivity, etc.) throughout the day and give people an insight in the relation between their daily activity patterns and their wellbeing, the effects of them on their body and the impact on (future) health, vitality and performance. The PhD student will develop novel process mining techniques for discovering health-related processes based on logs of sensor data.

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PhDs working on Process Mining/Data Mining/Data Science

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 (http://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.

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Two PhD students "Impulse"

The Architecture of Information Systems (AIS) group of the Department of Mathematics and Computer Science of the Technische Universiteit Eindhoven (TU/e) in collaboration with Perceptive Software, a business unit of Lexmark International, are looking for

two PhD candidates to work on Process Mining

The Data Science Centre Eindhoven (DSC/e) is TU/e’s response to the growing volume and importance of data (http://www.tue.nl/dsce/). One of the initiatives of DSC/e is the “Adding Value to Network and Web Data” Impulse program aiming at supporting excellent research and more intensive collaboration with innovative organizations such as Perceptive Software.

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.

Perceptive Software builds process and content management software that help organizations to bring business processes under control that deal with both structured and unstructured information (see http://www.perceptivesoftware.com/). Its products include state-of-the-art process management tools. The company and its predecessor in the Netherlands, Pallas Athena, have been closely working together with the AIS group for more than 15 years in areas like process modeling, case handling, simulation, and process mining. In 2012, the Perceptive BPM Research center was established at TU/e to strengthen the mutual cooperation.

In the context of DSC/e's Impulse program we are looking for two PhD candidates to work on process mining:

PhD 1 will work 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.

PhD 2 will work 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.

These projects will be supervised by prof. Wil van der Aalst (vdaalst.com) and prof. Hajo Reijers (reijers.com).

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We invite PhD students who have a full scholarship and thus do not need any financial support from our university.

Anyone interested in joining the IS group is kindly invited to apply, with CV, to Prof. dr. Paul M.E. De Bra.