Master Thesis: Automated probabilistic evaluation of cyclic life of turbine blade using advanced Bayesian machine learning techniques

Job Description
Placement: Finspång
Organization: Siemens Industrial Turbomachinery AB  

Are you a student and plan to write your master thesis during autumn 2019? Join us on our journey into the future #FutureMakers #Siemens

Siemens Industrial Turbomachinery manufactures world class gas turbines and the world is our market. We offer products and solutions to generate sustainable and power with a small environmental footprint. Our customers are energy producers, independent power producers and companies within the oil and gas business. We have the whole chain from development, production, sales, and aftermarket to service. We are about 2600 employees and have revenue of 10 billion SEK.

Now we are looking for a master thesis student within machine learning starting autumn 2019.

Project description

Title: Automated probabilistic evaluation of cyclic life of turbine blade using advanced machine learning techniques

To be able to increase the component life and service interval one way is to apply probabilistic tools to calculate the risks for example prolonging the service interval.

The probabilistic evaluation demands several FEM calculations with different variables that are varied, such as different temperatures outcomes and different material data. For some cases the calculation time could be several days. Since only one variable is changed at each time the number of calculations is set by the number of variables.

The object is to come up with an automatization for simulating and evaluating the component by using advanced machine learning techniques.

Who are you?

Master’s student in machine learning or similar with finite element analysis experience. It is a merit if you have previous experience of NX Nastran or similar Finite element analysis tool.

About Siemens

Together we are about 377 000 curious and competent employees all over the world who together develop the future.  You can be one of us! Read more at:


Don’t hesitate – apply today via refnr 113015 and no later than July 20 2019.

You will be based in Finspång, Sweden. For questions about the role please contact recruitment manager Malin Berggren Tel.: +46 122 887918

Employment type:
Project employment of about 6 months.

Salary type: Hourly payment

Union representatives:
Christine Lindström, Unionen, 0122-817 28
Simon Bruneflod, Sveriges Ingenjörer, 0122-842 24
Jan Lundgren, Ledarna, 0122-812 33
Kenth Gustavsson, IF Metall, 0122-815 25

For this ad we kindly decline all phone calls regarding advertisement and recruitment support.

Job ID: 113015

Organization: Gas and Power

Company: Siemens Industrial Turbomachinery AB

Experience Level: Mid-level Professional

Job Type: Full-time

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