[AISWorld] PhD position: Predictive Process Mining in Logistics at TU Eindhoven, NL

[Dirk Fahland]

The Analytics for Information Systems group (AIS) at Eindhoven
University of Technology (TU/e) and Vanderlande are looking for
candidates for one fully paid, fixed-term (4 years) PhD position
for research on predictive process mining in logistics.

Applications to be submitted *until January 7, 2018 via
http://www.win.tue.nl/ais/doku.php?id=jobopenings:v32.3110*

[Project]
The project aims at developing data mining and process mining
techniques for analyzing processes in logistics and flows across
logistics network, to find, predict, and implement improvements at
Vanderlande delivered logistics solutions. The underlying data for
analysis originates from various systems that are correlated and
linked in a multi-dimensional way and comes in very large volumes –
characteristics that existing process mining techniques cannot
handle.

Over the last year, we laid groundwork in novel techniques for data
extraction, Big Data processing, and process discovery for large,
multi-dimensional event data that will be continued in the next
years.

The upcoming research and this PhD project focuses on predictions
of process outcomes and online recommendations through scalable
process discovery and deviation detection techniques for
multi-dimensional event data. To enable these, the project requires
further development and improvement on appropriate data extraction
from logistics systems and Big Data processing techniques, and
appropriate (conceptual) models of logistics processes and systems.


[Candidate Profile]
We are looking for candidates that
- have a solid background in Computer Science, Data Science, or
  Mathematics (ideally in process/data mining, logistics, and/or
  databases),
- can demonstrate familiarity with predictive analysis using data
  mining, process mining, and/or statistical methods,
- have a strong interest in data science research, - are highly
  motivated, rigorous, and disciplined when developing algorithms,
- have the ability to realize their ideas in software prototypes of
  high quality standards,
- have good communication skills in English, both in speaking and in
  writing,
- possess overall good communication capabilities and are efficient
  team workers.

[Job Profile]
PhD students are expected to perform scientific research in the
described domain (individual and in collaboration), publish and
present results at international conferences and journals,
participate in organizational and teaching activities of the group,
provide training on relevant topics.

[Apply]
Further details about the position, salary and fringe
benefits, employment conditions, and how to apply are available at
http://www.win.tue.nl/ais/doku.php?id=jobopenings:v32.3110.

[About]
The AIS group of TU/e (https://www.win.tue.nl/ais/) is a
leading group in research on Process Mining and Business Process
Management investigating methods, techniques, and tools for the
design and analysis of process-aware information systems. AIS
develops the leading process mining research platform ProM, and is
active in dozens of national and international academic and
industrial collaborations. AIS provides its long running expertise
and experience across all challenges of process mining in general
and artifact-centric process mining specifically.

Vanderlande is the global market leader in baggage handling systems
for airports and sorting systems for parcel and postal services,
and also a leading supplier of warehouse automation solutions.
(http://www.vanderlande.com/). Vanderlande provides its expertise,
engineering capabilities, and data for deriving accurate and
realistic requirements for various kinds of logistics solutions and
problems as well as the opportunity to quickly validate all ideas
in a realistic setting.