Assistant Professor in business process intelligence (V32.2519)

Position Assistant Professor
Departments Department of Mathematics & Computer Science
Institutes Data Science Center Eindhoven
FTE 1,0
Date off 24/04/2016
Reference number V32.2519

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Job description

Architecture of Information Systems (AIS):

The assistant professor position is positioned in the Architecture of Information Systems (AIS) group. The AIS research group investigates methods, techniques and tools for the design and analysis of information systems and the operational processes they support. The primary focus is on the interplay between Data Science (DS) and Business Process Management (BPM), as is reflected by the group's contributions in the area of Process Mining.

AIS's research can be grouped in three highly connected research lines: (1) Process Modeling/Analysis, (2) Process Mining, and (3) BPM/WFM Technology. These three research lines share a focus on processes. For example, processes discovered using process mining techniques can be analyzed using Petri-net-based verification techniques and may be enacted using BPM/WFM technology.

The AIS group is one of the leading groups in BPM and DS, and the globally leading group in process mining. The group puts emphasis on open-source prototypes to test ideas and share knowledge. Many of the groups software products have been adopted in practice. YAWL (workflow system) has been downloaded more than 220,000 times, ProM (process mining tool) has been downloaded more than 120,000 times, and CPN Tools (modeling and simulation tool) has been downloaded more than 85,000 times. Note that these are not commodity tools, but advanced software products related to the business process analysis and enactment. Hence, these numbers are quite remarkable. Moreover, these open-source software tools also served as examples for numerous commercial tools.

Positions:

The assistant professor will work on topics connecting Data Science (DS) and Process Science (PS), with process mining and business process intelligence as focal areas. (The term process science refers to fields like BPM, process modeling, concurrency, operations research, etc. Data Science refers to data mining, statistics, machine learning, etc.) The assistant professor will also play a key role in the Data Science Center Eindhoven (DSC/e), one of the largest data science initiatives in the Netherlands. There is a huge need to staff able to teach and do research in this area.

We expect that the new staff member spends 50% of the time on teaching, and 50% of the time on research. AIS is involved in the new Bachelor Data Science with courses like Process mining and in the new the Master Data Science and Entrepreneurship with courses like Data-Driven Business Process Management. Of course supervising master students will also be one of the tasks for the new staff member.

The exact research focus is to be discussed based on the strengths and interest of the candidates. We welcome candidates that like to initiate new projects, develop new areas, and that are passionate about their work. Job requirements

We expect that candidates have:

  • A relevant PhD degree on a related topic.
  • Proven experience in the broader Data Science (data mining, statistics, machine learning, etc.) and/or Process Science (BPM, process modeling, concurrency, operations research, etc.) areas.
  • An interest to work on process mining and business process intelligence and bridge gaps between DS and PS.
  • Interested in tool development and empirical research using real-life data from industry.
  • Teaching experience.

Conditions of employment

Appointment and Salary:

We offer:

  • A challenging job in a dynamic and ambitious university and a stimulating research environment;
  • Support with your professional and personal development;
  • A gross salary between € 3.400 and € 4.654 per month depending on experience and knowledge, plus 8% holiday allowance and 8.3% end-of-year allowance;
  • An extensive package of fringe benefits (e.g. support in moving expenses and commuting expenses, excellent technical infrastructure, on-campus child care, and excellent sports facilities).

Information and application

Information:

For more information you can have a look at:

More information can be obtained from:

  • About the the position: prof.dr.ir. W.M.P. van der Aalst, e-mail: w.m.p.v.d.aalst@tue.nl
  • About the employment conditions: drs. Charl Kuiters, HR advisor, e-mail: pzwin@tue.nl.

Application:

The application should consist of the following parts:

  • Cover letter explaining your motivation and qualifications for the position;
  • Detailed Curriculum Vitae (including a list of publications);
  • Research statement;
  • Teaching statement (not more than one page);
  • Names of at least two referees.

Please send us your application before April 24th, 2016 by using the “APPLY NOW” button.

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