***** PhDs and Postdocs working on Process Mining *****
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.
Currently, there are vacancies for a PhD/Postdocs working on process mining in an STW project and two EU projects. These vacancies cover the process mining spectrum, e.g., the focal point of the STW project is the usage of process mining techniques at runtime (e.g. prediction and recommendation). The aim is to develop TomTom-like functionality for business process management.
The project will be conducted in the AIS group under the supervision of prof.dr. Wil van der Aalst. The AIS group is part of the Department of Mathematics and Computer Science. The department provides undergraduate and MSc programs in Industrial and Applied Mathematics and in Computer Science. The Department has research collaborations with other Departments at the Technische Universiteit Eindhoven as well as with a large number of other universities and companies, both at home and abroad. The Department has approximately 350 employees and more than 700 students.
The Architecture of Information Systems group is doing research in the area of process modeling and analysis. The group is rated as one of the leading computer science groups in the Netherlands and TU/e often seen as the epicenter of BPM research. The group uses formal methods such as Petri nets to design, analyze, and implement dynamic systems. The group is well-versed in workflow management,
process mining, and process verification. See www.workflowpatterns.com,
www.workflowcourse.com, www.processmining.org, www.yawl-system.com,
www.win.tue.nl/ais/, www.wvdaalst.com, and www.tue.nl for more
information.
Requirements:
We are looking for a candidate who meets the following requirements:
- a solid background in Computer Science and interested in systems for process support (demonstrated by a relevant Master or PhD);
- knowledge of data mining and machine learning and/or process modeling and formal methods;
- 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 software.
Note that we are looking for candidates that really want to make a difference and like to work on things that have a practical relevance. Therefore, we expect people to be able to develop software for ProM in such a way that it can be used in industrial settings.
Appointment and salary:
See http://w3.tue.nl/en/services/dpo/conditions_of_employment/formal_conditions_of_employment/
for 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;
- proof of English language skills (if applicable).
Applications should be received by April 1st and preferably earlier. Moreover, candidates should relate their expertise to process mining research (cf. www.processmining.org)
Please quote 10 Academic Resources Daily in your application to this opportunity!
