[AISWorld] Multiple PhD vacancies on Process Mining: TU/e is hiring people with a strong background in data mining, machine learning, process analytics, predictive analytics, and/or Big Data

[Aalst, W.M.P. van der]

Data science, and process mining in particular, is growing in importance.
Therefore, we have several PhD vacancies for people with a strong background
in data mining, machine learning, process analytics, predictive analytics,
or Big Data. Currently, we are looking for:

***** PhDs working on Process Mining/Data Mining/Data Science *****


The AIS group is one of the leading groups in the exciting new
field of process mining (www.processmining.org). Process mining
techniques focus on process discovery (extracting process models
from event logs), conformance checking (comparing normative
models with the reality recorded in event logs), and extension
(extending models based on event logs). The work resulted in
the development of the ProM framework that is widely used
in industry and serves as a platform for new process mining
techniques used by research groups all over the globe. Moreover,
many of the techniques developed in the context of ProM have
been embedded in commercial tools. See also www.processmining.org.

The Data Science Centre Eindhoven (DSC/e) is TU/e's response to the
growing volume and importance of data (http://www.tue.nl/dsce/).
For example, in TU/e's Impulse program we collaborate with
innovative organizations such as Perceptive Software on topics related
to data science and process mining.

In the context of various research projects we are looking for several
PhDs working on process mining and related topics:

- We are looking for a PhD working on Big Data and process mining.
Events are growing and detailed analysis based on formal and precise
models is often infeasible without distribution or innovative mining
approaches.

- We are looking for a PhD working on concept-drift analysis in process
mining. Process models are changing while being analyzed. This requires
techniques coping with "second-order dynamics".

- We are looking for a PhD working on the application of process mining
to health-related data generated by a variety of devices (movements,
heart rate, blood pressure, etc.).

- We are looking for a PhD working on the new process cube notion
where ideas from process mining, big data, and OLAP technologies are
combined to answer a variety of questions. Event data are sliced and
diced and one can drill-down to apply more detailed process mining analyses.
This is also closely related to managing collections of process
models, dealing with huge data sets, and distributed process
mining.

- We are looking for a PhD working on analysis techniques that
help organizations to detect trends within their own operations
on the basis of the hybrid and vast amounts of data that are processed
and stored by the enterprise systems they use. The idea is to integrate
outcomes from process mining analyses, social network analyses, and
natural language processing to obtain new insights on how they perform
as a whole and for specific departments/products/customers.




Requirements:

We are looking for candidates that meet the following
requirements:
- a solid background in Computer Science or
Information Systems with an interest in process mining;
- knowledge of data mining, machine learning, process analytics,
predictive analytics, or Big Data. (demonstrated by a relevant Master);
- 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;
- moreover, 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 ability to work in one of the strongest
research groups in the world. Moreover, we would like to prepare
candidates for interesting data science related jobs (sometimes referred
to as "the most sexy job of this century") in both academia and industry.


Appointment and salary:

PhD's will be employed by the TU/e using the standard conditions for Dutch
universities.
See http://w3.tue.nl/en/services/dpo/conditions_of_employment/tue_conditions_of_employment/
for more information on working at TU/e, salary, etc.


Application: Interested candidates are requested to send an
application by e-mail to Ine van der Ligt (e-mail:
wsinfsys at tue.nl) with the subject field "Process Mining Vacancies
AIS".

The application should consist of the following parts:
- motivational letter;
- a curriculum vitae;
- copies of diplomas.

Applications should be received by December 8st, 2013. In the application,
candidates should relate their expertise to the topics mentioned
(cf. www.processmining.org) and describe their language and software
development skills.

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