[Ieee_vis_open_positions] Postdoc: Model-based Visualization of Software Event Data; TU/e, The Netherlands

[Huub van de Wetering]

           Postdoc: Model-based Visualization of Software Event Data 
               Department of Mathematics and Computer Science
                   University of Technology Eindhoven
                            The Netherlands

Full text: http://jobs.tue.nl/en/vacancy/postdoc-modelbased-visualizati
on-of-software-event-data-272803.html


Project
In the context of the 4TU.BSR "Big Software on the Run" research
program we are looking for a Postdoc interested in Software Analytics
and Data Science.

The BSR program 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
4TU.NIRICT, the Netherlands Institute for Research on ICT, which
comprises all ICT research of the three universities of technology in
the Netherlands. A postdoc 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 4TU.BSR
research program develops 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.

PostDoc position: Model-based Visualization of Software Event Data
Visualization can be a powerful means for understanding large and
complex data sets, such as the huge event streams produced by running
software systems. During explorative analysis (T1) experts have to be
enabled to see what patterns occur, during monitoring (T2) anomalous
events and patterns have to be detected, where in both cases we can
exploit the unique capabilities of the human visual system. However,
simply showing events as a sequence of items will fall short because of
lack of scalability. The challenge is to visually support users in
their tasks to do event sequence analysis: locate occurrences of
events, find temporal/logical patterns, discover relations between
occurrences and attributes of events, and  define and check hypotheses.
We propose to enable the users to interactively express their interest
in the data using interaction on models ranging from simple range
filters to process models.

Job requirements
We are looking for candidates that have:
* demonstrable experience with visual analytics and visualization;
* experience with software analysis and/or event data analysis;
* a relevant PhD;
* a track record of publications in relevant high-quality venues, such
as IEEE VIS or EuroVis;
* strong communicative skills in English, both in speaking and in
writing;
* strong software development and prototyping skills.