[AISWorld] Vacancy for a PhD candidate in the Desire Lines in Big Data project

Buijs, J.C.A.M. j.c.a.m.buijs at tue.nl
Thu Jul 23 10:58:14 EDT 2015


View this vacancy online and apply directly: http://jobs.tue.nl/en/vacancy/phd-candidate-desire-lines-in-big-data-226186.html
In the context of the NWO project "Desire Lines in Big Data" we are looking for a PhD candidate interested in Process Mining on huge, heterogeneous event logs.

The DeLiBiDa project as a whole runs for a period of four years and aims to develop new process mining technology to analyse big event logs. It is supported by the Dutch Organisation for Scientific Research (NWO).
Context
The goal of process mining is to extract process-related information from event logs, e.g., to automatically discover a process model by observing events recorded by some information system. Despite recent advances in process mining there are still important challenges that need to be addressed. In particular with respect to handling large-scale event logs.
DeLiBiDa aims to develop new techniques to deal with massive event data. There are various settings where it is impossible to store events over an extended period. Therefore, we want to develop techniques for storing large event logs efficiently, for example in databases. Furthermore, we aim to develop in-database (pre)processing techniques to facilitate existing as well as new to be developed process mining technology. Finally, we plan to develop query techniques to make event-data quickly accessible for processing. Therefore, knowledge of or affinity with databases, query optimization, etc. is a pre.
Position
The PhD will join the Architecture of Information Systems (AIS) group at Eindhoven University of Technology. The DeLiBiDa project as a whole consists of two PhD students and a PostDoc. One PhD student started about a year ago on stream-based process mining. The PostDoc will be involved in the supervision of the PhD students.
Requirements
We are looking for candidates that meet the following requirements:

  *   a solid background in Computer Science, Data Science, or Software Science (demonstrated by a relevant Master degree);
  *   good communicative skills in English, both in speaking and in writing;
  *   candidates are expected to realize research ideas in terms of prototype software, so software development skills are needed;
  *   candidates from non-Dutch or non-English speaking countries should be prepared to prove their English language skills.
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 ambition to compete at an international scientific level (i.e., present at top conferences and in top journals).

Conditions of employment

For the PhD position, we offer:

  *   a full-time temporary appointment for a period of four years.
  *   salary in accordance with CAO of the Dutch universities ;
  *   support for your personal development and career planning including courses, summer schools, conference visits etc.;
  *   a broad package of fringe benefits (e.g. excellent technical infrastructure, child daycare, and excellent sports facilities).

More information

  *   Apply to this vacancy online at http://jobs.tue.nl/en/vacancy/phd-candidate-desire-lines-in-big-data-226186.html
  *   More information about this position contact dr.ir. Boudewijn van Dongen (Assistant Professor), e-mail b.f.v.dongen at tue.nl<mailto:b.f.v.dongen at tue.nl> or by telephone: +31 40 247 2181
The application should consist of the following parts:

  *   Cover letter explaining your motivation and qualifications for the position (the letter should show an understanding of process mining and the work done within AIS, see websites such as www.processmining.org<http://www.processmining.org> and the book "Process Mining: Discovery, Conformance and Enhancement of Business Processes");
  *   Detailed Curriculum Vitae;
  *   List of courses taken at the Bachelor and Master level including marks;
  *   List of publications and software artifacts developed;
  *   Pointer to a copy of the Master thesis and key publications;
  *   Names of referees.



Kind regards,

[TUe_top]

dr.ir. J.C.A.M. (Joos) Buijs
Post-Doctoral Researcher
Fac. Wiskunde & Informatica

j.c.a.m.buijs at tue.nl<mailto:j.c.a.m.buijs at tue.nl>
http://www.tue.nl/staff/j.c.a.m.buijs

Not in the office on Mondays

Den Dolech 2, 5612 AZ
P.O. Box 513, MF 7.062
5600 MB Eindhoven
The Netherlands

In case a direct reply is desired:
Office MF 7.062
Lync j.c.a.m.buijs at tue.nl<sip:j.c.a.m.buijs at tue.nl>
Skype joos.buijs
M +31 6 42 77 89 88 (preferred)
T +31 40 247 3661

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