Two-2 PhD-student positions at UTC, LTU Sweden:

In Operation and Maintenance Engineering:

With spotlight on Condition Based Maintenance (CBM) Technologies and Maintenance Decision Support Models. The SKF University Technology Centre (UTC) in advanced condition monitoring is located at Luleå University of Technology (LTU) in Sweden. The research centre is expanding and has open PhD-student positions for persons who would like to develop, build up technology for future intelligent machines in association with SKF’s R&D centers in the Netherlands, Scotland, USA and Sweden. 

A thrilling characteristic, feature of the UTC is the multidisciplinary research environment, which involves teamwork between seniors and Ph.D. students focusing on four research areas: Tribology with focus on monitoring and controlling surface contact conditions in service. Sensors and models for monitoring of the bearings and their operating environment. Communication and signal processing technologies for conversion of data into prognostic information and initiation of corrective actions when needed. Maintenance LTU management data systems and condition-based maintenance processes. 

The UTC is teamwork between SKF and three divisions at Luleå University of Technology; Machine Elements, EISLAB (embedded systems and industrial electronics) and Operation and Maintenance Engineering. The vision of the UTC is to change bearings from passive components to active and “smart” components with sensors, actuators and embedded electronics. This technology is to be integrated with support systems to prevent expensive machine downtime and optimize operation. The research program of the UTC needs know-how from several areas, as well as mechanical engineering, tribology, maintenance technology, machine learning, wireless sensor technology, signal processing and embedded systems. 

  1. Link to an article about the inauguration of the UTC
  2. Link to SKF’s press release regarding SKF-LTU UTC:  

We are currently looking for six PhD-students to work within the UTC at LTU. Two of them are in Operation and Maintenance Engineering with focus on Condition Based Maintenance (CBM) Technologies and Maintenance Decision Support Models. The development of technologies used to monitor the operating condition of plant equipment, machinery, and systems has provided the means to deal with and manage the maintenance operation. These technologies have granted the possibility to reduce or remove needless repairs, prevent disastrous machine failures, and decrease the negative impact of the maintenance operation on the profitability of manufacturing and production plants. 

This research topic struggles to get better the diagnosis and prognosis of the RUL (Remaining Useful Life) of a benefited and helped by the development of hybrid models. A hybrid model combines some model types, (data driven and physics based mainly) giving an additional full set of information which will cause to be in a more accurate recognition of the fault condition. While most models incorporate some prior knowledge, little work has been done on clear, explicit hybrid modeling for fault diagnostics and maintenance decision making. Related to this research topic SKF UTC offers two PhD positions very much related to condition monitoring and condition based maintenance decisions within the framework of the SKF research center with special highlighting on the following topics: 

  • Condition Monitoring (CM) and Predictive Maintenance (PdM) technologies. 
  • Diagnosis and prognosis: 
  • Remaining Useful Life (RUL) of components and systems. 
  • General curricula for the Board of the faculty of science and technology. 


Engineering graduates with Masters Degree and/or interests closely related to maintenance technologies and modeling of maintenance processes. Further knowledge and field know-how from the area of maintenance engineering would be a merit. Candidates should have good knowledge of English language. 

Contact details & more information:

  • Prof. Diego Galar , 

Tfn: +46 920-492437, 


  • Dr. Matti Rantatalo, 

Tfn: +46 920-492124, 



The application shall contain a personal letter, CV and copies of diplomas from high school and universities. We recommend that you use the link provided below for submitting your application click additional information link. Otherwise, you can send it in printed form to the Luleå University of Technology, Registrator, 971 87 Luleå, or 


Reference number: 1958-12 

Last day for applications: 11 November 2012 

Additional Information

Application Deadline: 14 November 2012


About khaproojanu

Assalm-o-Alaikum: How are You Dear Friends! My name is Zafar Ullah Khan. I am the Person with Special Needs. I am interested in Blogging, Articles writing, web content writer, and MS-office applications. I have Master degree in Political science and Graduate degree in Economics.
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