Master Thesis- Project in Mining Massive Data se
Siemens Industrial Turbomachinery (SIT) AB / Datajobb / Finspång
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hela Sverige Visa alla jobb hos Siemens Industrial Turbomachinery (SIT) AB i Finspång,
Trollhättan,
Mölndal,
Skellefteå eller i
hela Sverige We are now looking for a student who wants to do a thesis work in the field of data mining and knowledge discovery in Finspång, Sweden.
What are my responsibilities?
Project description:
Gas turbine maintenance programs are developed to manage the risk of operation. This risk management is performed based on the deterministic lifetime data and to improve it, it is necessary to assess the condition of the components during operation and compile the results into the lifetime calculation procedures to obtain lifetime distributions. This process to collect the condition of the components from the sites and explore the patterns within the collected data is called ?Operation Experience?.
The aim of this process is to build/use a tool and feed the inspection findings into the database together with all other relevant information to test hypotheses such as:
• Correlation between the operation profile and the suggested replacement date of the components
• Correlation between every specific failure mode and lifetime consumption rate
• Independency of the inspection findings to the inspector
• Distribution of every specific finding against the other interested parameters for example site geographical location, operation profile, fuel type and etc.
• Dependency of the inspection findings to the type of inspection (for every specific component)
• Dependency of the inspection finding to the engine type
• Probability of sooner replacement requirements comparing to the standard replacement interval (for every specific component)
The testing is to support or falsify hypotheses to find the strengths and weaknesses in today dataset to estimate how reliable the data is to estimate risk and how it can be improved to gain maximum information about the risks.
Project Deliverables:
• Specification of the proper data mining technique according to the defined requirements
• Possible knowledge discovery methodology according to the specifications
• Risk assessment for the proposed methodology
• The set of rules and classifiers to do the pilot phase according to the proposed methodology
• Knowledge representation model (this is to provide the framework and samples of the suitable visualization of the discovered knowledge)
• Report on tested hypotheses and conclusions about how the dataset can be data mined or extended for maximum information about risks.
What do I need to qualify for this job?
The applicant must have the higher university education in Data Mining, Knowledge Discovery, Knowledge Data Retrieval or similar areas. Having the undergraduate diploma in computer science is a plus. Minimum knowledge of Microsoft SQL server is necessary.
How do I apply?
For further information, please don?t hesitate to contact Davood Naderi, tel. +46 (0)122-842 66, email
bjorn.p.karlsson@siemens.com . The recruitment process is ongoing, please make sure that you will apply before October 7th 2014 at our homepage (
www.siemens.se/ledigajobb )
Siemens is dedicated to quality, equality, and valuing diversity, and we welcome applications that reflect the diversity of the communities within which we work.
Start according to agreement. It can bee as soon as possible.
If you would like to come in contact a union representative in Sweden:
Christine Lindström, Unionen, 0122-81728
Dick Kindåker, Sveriges Ingenjörer, 0122-82176
Jan Lundgren, Ledarna, 0122-81233
Kenth Gustavsson, Metall, 0122-81525
Publiceringsdatum2014-10-02Arbetstider och omfattningVisstidsanställning 3 - 6 månader
Heltid
Vanlig anställning/3 - 6 månader/Heltid
ErsättningFast lön
Så ansöker duSista dag att ansöka är 2014-10-08
Ange följande referens när du ansöker: 165367
FöretagSiemens Industrial Turbomachinery (SIT) AB
AdressSiemens Industrial Turbomachinery (SIT) AB
Slottsvägen
61283 Finspång
KontorsadressSlottsvägen
Finspång
Övriga kontaktuppgifterTelefonnummer: 0122-81000
Faxnummer: 0122-19700
E-postadress:
info.sit-ab@pg.siemens.com Jobbnummer 2016791
Observera att sista ansökningsdag har passerat.