Eindhoven University of Technology:
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
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.
