PhD Position on Mining the Product Development Process
The Department of Technology Management (TM) offers a BSc in
Industrial
Engineering and Management Science (Technische Bedrijfskunde), a BSc
in
Innovation Sciences (Technische Innovatiewetenschappen), a BSc in
Industrial Engineering for Health Care, and MSc programmes in
Innovation
Management, Operations Management and Logistics, Technology and
Policy,
and Human Technology Interaction. Education and research in the
department
focus on the development and use of technology in a business and
society
oriented context. Research is design and application oriented, based
on
fundamental scientific insights and methods.
The sub-department of Information Systems (IS) performs research in
the
field of the application of information technology for the support of
operational business processes. Members of the group come from all
over
the world and work together in an open-minded and constructive
atmosphere.
The IS group participates in education for bachelors and masters in
the
field of industrial engineering and computer science. The ICT
Architecture
(ICTA) group within this subdepartment focuses on architectures of ICT
systems supporting operational processes in e-business and has
participated in several EU research projects on cross-organizational
process integration.
TU/e PhD Position on Mining the Product Development Process
(V39.443)
within the subdepartment of Information Systems.
The Department of Technical Management Science of Eindhoven
University of
Technology (TU/e) is looking for a PhD candidate for the research
project
"Merging of incoherent field feedback data into prioritized design
information". This project is funded by SenterNovem IOP IPCR. The
following research groups and industrial partners are involved in this
project:
Research groups:
* Division Quality and Reliability Engineering, faculty of Technology
Management, DTI / Technische Universiteit Eindhoven
* Division Information Management, Faculty of Management and
Organisation,
the University of Groningen
* Division Information Systems, faculty of Technology Management, DTI
/
Technische Universiteit Eindhoven
Industrial partners:
* Philips CE
* Oce Technologies
* Stork
* Philips PMS
* CFS
* Bakos
Project goal
Modern innovative industrial product development processes are facing
a
number of increasing and conflicting trends that strongly influence
the
industrial product creation process: (i) The continuous influx of new
technology, (ii) the complexity of the product, (iii) an increasing
pressure on time to market, (iv) products are currently no longer
created
by stable, often monolithic companies but by increasingly volatile and
dynamic international business networks.
Traditional field feedback information (e.g. service center) has
supported
development organisation to prioritize their development activities in
preventing mismatches between product specifications and customer
requirements for the product family or even for the same product
generation. However, the trends mentioned above requires such
information
as fast as possible, and much earlier in the development process.
Interestingly, mainly thanks to advances in ICT, potentially much more
information could be available for use in the development process.
User
forums at the internet, Frequently Asked Questions (FAQs) at service,
user
helpdesk and many other, related, information sources can potentially
provide valuable decision support information very quickly. The main
problem, however, is that these data sources contain huge amounts of
data
that are often very dynamic and volatile in structure. The aim of this
project is to develop a system that has the ability to extract
relevant
information from these dynamic, incoherent, data sources and to
translate
it into valuable decision support information for use in the product
creation process. It concentrates on five primary sources of
information:
* Test data obtained during the product creation process
* Service data
* Helpdesk data
* Internet data extracted from, for example user forums
* Trade
These datasets, however, are not all collected to support product
development. Some of them are much unstructured. The fast development
of
ICT has made it technically feasible
* to extract smaller but far richer databases from those structurally
very
diverse databases.
* to identify the (consumer complaints, use, and etc. ) patterns in
different databases
Three PhD students are involved in this project:
1. One PhD student from the field of Quality and Reliability
Engineering,
concentrating on developing a new information process to provide
development with the required information.
2. One PhD student from the field of (Business) Information Systems,,
concentrating on knowledge acquisition methods to extract structural
information from different types of consumer databases into a so
called
development warehouse.
3. One PhD student from the field of Information Systems,
concentrating on
the identification and deployment of suitable mining techniques that
can
be applied to identify various patterns in the development warehouse.
We try to select a candidate for the third position. The candidate
will be
employed by the division Information Systems (IS) faculty of
Technology
Management, DTI / Technische Universiteit Eindhoven. However, there
will
be a strong cooperation between two other candidates employed by the
two
other mentioned research groups. In the project there is a great
opportunity to combine science with real-life applications on data of
the
mentioned industrial partners. TU/e is internationally renowned for
its
research in the areas of process mining, workflow management, and
process
modeling.
Requirements
For these positions we are interested in candidates a solid
background in
Computer Science or Business Management. Candidates having a
background in
data mining and process modeling (e.g., Petri nets) are specially
welcomed.
Appointment and salary
We offer:
* a full-time temporary appointment for a period of 4 years;
* a gross monthly salary of € 2,000.00 during the first year up to €
2,558.00 during the fourth year of the appointment;
* a broad package of fringe benefits (e.g. help with housing, child
care,
savings schemes and excellent sports facilities);
For more information:
- process mining: http://www.processmining.org
- Working at TU/e: http://w3.tue.nl/en/services/dpo/
- IS group: http://is.tm.tue.nl
Application
Interested candidates are requested to send a brief by e-mail to dr.
Ton
Weijters (a.j.m.m.weijters@tue.nl) indicating:
- Their interest in the topic.
- A clear motivation.
- A brief summary of their background focusing on their experiences.
Please use the subject [PhD on Process Mining at TU/e] and do NOT
include
any attachments! Selected candidates will be invited to submit a
formal
application and then given the opportunity to include more detailed
information.
Procedure
Please send your application and CV to:
Dr. A.J.M.M. Weijters
Technische Universiteit Eindhoven
Department of Technology Management
IS, Pav D20
PO Box 513
5600 MB Eindhoven,
The Netherlands
You may send your application by e-mail to: a.j.m.m.weijters@tue.nl
Applications should be received by 15 April, 2008. Please include job
vacancy code V39.433.
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