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jobs:v32.2142 [2014/12/19 10:05] (current)
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 +====== PhD: Discovering Behavioral Software Models from Software Event Data ======
  
 +| **Function** | PhD-student |
 +| **Departments** | Department of Mathematics & Computer Science |
 +| **FTE** | 1,0 |
 +| **Date off** | 31/01/2015 |
 +| **Reference number** | V32.2142 |
 +
 +===== Job description =====
 +
 +==== Project ====
 +
 +In the context of the 3TU.BSR "Big Software on the Run" research program we are looking for 6 PhDs and 3 Postdoc interested in Software Analytics and Data Science.
 +
 +The project will run for a period of four years and is supported by the three Dutch technical universities (Eindhoven University of Technology, TU Delft, and University of Twente). It was initiated by 3TU.NIRICT, the Netherlands Institute for Research on ICT, which comprises all ICT research of the three universities of technology in the Netherlands. The PhD positions will run for 4 years. The three postdocs will be appointed for 2-3 years.
 +
 +==== Context ====
 +
 +Millions of lines of code - written in different languages by different people at different times, and operating on a variety of platforms - drive the systems performing key processes in our society. The resulting software needs to evolve and can no longer be controlled a priori as is illustrated by a range of software problems. The 3TU.BSR research program will develop novel techniques and tools to analyze software systems in vivo - making it possible to visualize behavior, create models, check conformance,​ predict problems, and recommend corrective actions. To deal with Big Software on the Run (BSR), we propose to shift the main focus from a priori software design to a posteriori software analytics thereby exploiting the large amounts of event data generated by today'​s systems. The core idea is to study software systems in vivo, i.e., at runtime and in their natural habitat. We would like to understand the actual (desired or undesired) behavior of software. Running software needs to adapt to evolving and diverging environments and requirements. This forces us to consider software artifacts as "​living organisms operating in changing ecosystem"​. This paradigm shift requires new forms of empirical investigation that go far beyond the common practice of collecting error messages and providing software updates.
 +
 +==== PhD Position: Automatically Discovering Behavioral Software Models from Software Event Data ====
 +
 +Process models and user interface workflows underlie the functional specification of almost every substantial software system. However, these are often left implicit or are not kept consistent with the actual software development. When the system is utilized, user interaction with the system can be recorded in event logs. After applying process mining methods to logs, we can derive process and user interface workflow models. These models provide insights regarding the real usage of the software and can enable usability improvements and software redesign. In this project, we aim to develop process discovery techniques specific for software. How can domain knowledge and software structure be exploited while mining? How to discover software patterns and anti-patterns?​
 +
 +===== Job requirements =====
 +
 +==== Requirements ====
 +
 +We are looking for candidates that meet the following requirements:​
 +
 +  *     a solid background in Computer Science, Data Science, of Software Science (demonstrated by a relevant Master);
 +  *     for the postdoc ​ positions a relevant PhD is expected;
 +  *     ​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;
 +  *     ​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 ambition to compete at an international scientific level (i.e., present at top conferences and in top journals).
 +
 +====== Conditions of employment =====
 +
 +==== Appointment and salary ====
 +
 +We offer:
 +
 +  *     A full time temporary appointment for a period of 4 years, with an intermediate evaluation after 9 months;
 +  *     A gross salary of € 2083 per month in the first year increasing up to  € 2664 in the fourth year;
 +  *     ​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).
 +
 +===== Information and application =====
 +
 +==== More information:​ ====
 +
 +  *     More information about this position contact prof.dr.ir. Wil van der Aalst (Full Professor), e-mail: w.m.p.v.d.aalst@tue.nl or by telephone: +31 40 247 4295.
 +  *     More information about the employment conditions contact drs. Charl Kuiters (HR advisor), e-mail: pzwin@tue.nl or by telephone: +31 40 247 2321.
 +
 +You can apply by using the 'Apply Now' button on [[http://​jobs.tue.nl/​en/​vacancy/​phd-discovering-behavioral-software-models-from-software-event-data-206118.html]]. Or follow the link: [[http://​jobs.tue.nl/​en/​vacancies.html]],​ choose Department of Mathematics and Computer Science and click ‘search’ to find this vacancy (V32.2142). ​