Exjobb - Project in Mining Massive Data Sets

Siemens is a global powerhouse in electronics and electrical engineering, actively operating in more than 190 countries. We offer a wide range of pioneering products for energy efficiency, industrial productivity, affordable healthcare and intelligent infrastructure, with a quickly growing focus on sustainability. To find answers to the toughest questions of our time, we need open-minded and curious people who dare to ask them. Just like the 370,000 people employed by Siemens. And maybe just like you.

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".

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.

Further:
Proactive and solution focused
A good understanding of information models
Excellent planning and organizational skills
Excellent time management skills
High analytical skills coupled with high numerical skills
Good understanding of the databases
Good English skills

How do I apply?
Send in your application through our homepage: www.siemens.se/ledigajobb

For further information, please dont hesitate to contact Davood Naderi, tel. +46 (0)122-842 66, email bjorn.p.karlsson@siemens.com. The recruitment process is ongoing so we are looking forward to your application, please make sure that you will apply before 9th of May 2014.

Siemens is dedicated to quality, equality, and valuing diversity, and we welcome applications that reflect the diversity of the communities within which we work.

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