Eurizon.eu

Organization: VTT

Location: Espoo , Finland

Field: Industrial technology

Requirements:

Success in this position requires a background in one or several of the following fields:
• manufacturing
• service business
• maintenance
• predictive health monitoring
• data mining

Further expectations:
• a solid academic background with an MSc in relevant fields
• scientific ambition, motivation and strong interest in cutting-edge research
• team working skills in an international working environment
• inventiveness and initiative personality
• good analytical and problem solving skills
• excellent English language skills

Abstract:

VTT is a globally networked multitechnological contract research organization. VTT provides high-end technology solutions and innovation services to a broad range of industries worldwide. As a workplace we offer new challenges at the forefront of technological development. VTT employs 2900 professionals. Our turnover is 280 M€. Main locations in Finland include Espoo, Tampere, Oulu, and Jyväskylä

Description:

Modern manufacturing companies want to be able to manage the complete Life Cycle of their products i.e. they put a lot of effort in Product Life Cycle Engineering (PLCE) and Product Life Cycle Simulation (PLCS). From business point of view the use phase of products is of high interest i.e. manufacturing companies want to expand their responsibilities towards providing services for maintaining their products throughout their complete Life Cycle. In order to be efficient and competitive these kinds of services are managed by following Condition Based Maintenance (CBM) strategy which in turn gives high demands for developing Predictive Health Monitoring (PHM) techniques. It is quite typical that modern production machinery has only a limited number of extremely critical components (e.g. bearings of a wind turbine), which are costly and difficult to monitor in such a way that reliable prognosis of their condition and need for maintenance can be made. In order to be effective the used PHM methods need to be automatic and very reliable. Through the penetration of new sensor types (such as based on MEMS) to the Condition Monitoring market and the rapid increase of processing power high potential for PHM exist assuming similar development of classification and modeling techniques (such as Fuzzy Logic (FL), Neural Networks (NN) and Data Mining (DM)) to manage the prognosis of wear and failure development. The potential provided by wireless communication and internet are natural elements in the growth of this kind of information (e-maintenance) scenario providing diagnosis services as a cloud service from the manufacturer. The aim of the PhD work is to carry out research for supporting the above defined scenario. The goal of the research can be fine-tuned based on the preceding studies and research interests of the applicant.

Requirements:
PhD students and Post Doc Researcher participate in high level research work at VTT on selected strategically relevant topics within a collaborative project environment. PhD work is done for four consecutive years under professional scientific supervision by highly experienced and competent senior researchers with PhD degrees. The PhD thesis should be finalized within the four-year period and fulfill high level scientific standards.
We offer for PhD Students
• an opportunity to contribute to the strategic capabilities of a world-class research organization
• outstanding PhD supervision by top research scientists of your field
• excellent prospects for personal development
• an innovative work community for aspiring researchers
• a work contract for 1 + 3 years
• assistance with housing and other relocation issues
 
For further information, please contact Chief Research Scientist Erkki Jantunen, erkki.jantunen@fi.

For conditions of employment (incl. relocaton service issues), please contact Merja Grönberg, merja.gronberg@vtt.fi or Marja-Liisa Virtanen, marja-liisa.virtanen@vtt.fi
Please fill in your application at www.vtt.fi/careers

Deadline: 13-03-2011

Contacts:

Link: http://www.vtt.fi/careers

Email: merja.gronberg@vtt.fi

Email: marja-liisa.virtanen@vtt.fi

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