Mode of Employment: Limited

 

Headed to the future? Hop right in.

Do you like the sound of finding the smartest solution side by side with professionals and experts? If so, complete your bachelor’s or master’s thesis with us. We can help you to combine knowledge, discover connections, and formulate ideas. When you join our team, you will gain an insight into a range of departments and processes. It is a chance like no other to break new ground as we head into the future of electrification, automation, and digitalization. Seize this opportunity today!

   

What part will you play?

We mainly acquire time series data throughout different machining processes containing information about the quality and efficiency of the process. To be able to analyze this data effectively, a universal approach is needed to split this kind of time series data into defined segments, e.g. workpiece features, machine maintenance, etc. During your Master thesis you will perform research on how different algorithms perform on this task and you will develop new algorithms based on machine learning and statistical methods.

You will research on state of the art algorithms for time series segmentation and change point detection / estimation (pattern recognition, autoregression, change point detection, location estimation). The evaluation and comparison of algorithms for time series segmentation / change point detection (either using machine learning or statistical methods or both), will also be one of your task. You will research on how to improve the segmentation results with the use of the available sensor signals. Moreover, you will be part of the development of new approaches for time series segmentation.

Use your skills to move the world forward.

You are currently enrolled in a technical or scientific degree, such as mechanical engineering or computer science. You are familiar with machine learning and have experience in time series analysis. Ideally, you are experienced with coding in Python. You are structured and self-organized. You enjoy scientific work such as reading and writing scientific publications.  

We’ve got quite a lot to offer. How about you?

www.siemens.de

if you wish to find out more about Siemens before applying.

Do you have questions about the application? Here you will find answers to frequently asked questions.
If you have more questions please contact: www.siemens.de/fragenzurbewerbung
www.siemens.com/careers
if you would like to find out more about jobs & careers at Siemens.

As an equal-opportunity employer we are happy to consider applications from individuals with disabilities.

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