[AISWorld] PhD positions on Process Mining in Logistics at TU Eindhoven

[Dirk Fahland]

The Architecture of Information systems group (AIS) at Eindhoven
University of Technology (TU/e) and Vanderlande are looking for
candidates for two fully paid, fixed-term (4 years) PhD positions for
research on process mining in logistics; applications to be submitted
*until January 31, 2016 via
https://www.win.tue.nl/ais/doku.php?id=jobopenings:two_phd_positions_on_process_mining_in_logistics*

[Project]
The project aims at develop data mining and process mining techniques
for analyzing processes in logistics and flows across logistics network.
The underlying data for analysis originates from various systems that is
correlated and linked in a multi-dimensional way – a characteristic that
existing process mining techniques cannot handle. The goal of the
project is to apply, extend, and develop techniques for the entire
process mining spectrum for logistics (data recording and extraction,
conceptual modeling, process discovery and replay, deviation detection
offline and online, process prediction and recommendation based on event
data). By having thorough and fast insight into logistics and business
processes, improvements can be found, predicted, and implemented at
Vanderlande delivered logistics solutions.

[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),
- 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
https://www.win.tue.nl/ais/doku.php?id=jobopenings:two_phd_positions_on_process_mining_in_logistics.

[About]
- The AIS group of TU/e, chaired by Wil v.d. Aalst
(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.

-- 
Dr. Dirk Fahland . TU/e . Dept of Mathematics and Computer Science
d.fahland at tue.nl . +31-40-2474804 . https://www.win.tue.nl/~dfahland/