Master/Bachelor Thesis: Robustness of machine learning algorithms

A Snapshot of Your Day

Siemens Energy, Finpång, develops and manufactures gas turbines for power generation and operation of compressors and pumps. We are a strong player in the energy transition and our gas turbines are leading the adoption of green fuels. This rapid development brings challenges also on the gas turbine measurement systems. You will be part of the group that is responsible for the design and technological progress of the measurement’s methods applied on our products.

The operation and validation of a gas turbine, and the performance thereof, are constantly being monitored by thousands of sensors of various types. There is a good potential of cost saving and increased reliability if some sensors could be replaced or combined with nearby measurements.

The usage of machine learning algorithms for sensor replacement has been evaluated. Also, the help of machine learning algorithms for detection of faulty sensors has been tested.

A combination of these two use cases is highly interesting to achieve a robust solution for field use. That is an algorithm emulating a sensor, but at the same time also understands if the input data are lacking accuracy or is being faulty.

The project is expected to start in October for a duration of 20 weeks.

How You’ll Make an Impact

* Understand the measurement system architecture and the ingoing components.
* Find and implement suitable ML algorithms. (Literature study)
* Simulate data lacking in accuracy and containing faults. Analyze and compare the results from different implementation.
* Being involved in R&D-projects and prototype testing
* Contribute to a good workplace and strengthen us as a team

What You Bring

* Bachelor or master with technical profile
* Experienced in machine learning.
* Knowledge in measurement techniques
* Curious mind
* Interested in data reduction.

About the Team

You will be a part of a global network of highly skilled professionals. You will be able to let your competence and professional life develop within Siemens Energy’s different initiatives and opportunities. Meet interesting new people while working and developing future energy generation solutions.

Our Gas Services division offers Low-emission power generation through service and decarbonization. Zero or low emission power generation and all gas turbines under one roof, steam turbines and generators. Decarbonization opportunities through service offerings, modernization, and digitalization of the fleet.

Check out this page to learn more about our Gas Service business https://www.siemens-energy.com/global/en/offerings/power-generation.html

We can offer you employment benefits such as: reduction of working hours, advance vacation, health care allowance and an eventual possibility to a flexible working place.

What’s it like to work at Siemens Energy? Take a look: https://bit.ly/3hD9pvK

Who is Siemens Energy?

At Siemens Energy, we are more than just an energy technology company. We meet the growing energy demand across 90+ countries while ensuring our climate is protected. With more than 92,000 dedicated employees, we not only generate electricity for over 16% of the global community, but we’re also using our technology to help protect people and the environment.

Our global team is committed to making sustainable, reliable, and affordable energy a reality by pushing the boundaries of what is possible. We uphold a 150-year legacy of innovation that encourages our search for people who will support our focus on decarbonization, new technologies, and energy transformation.

 

Our Commitment to Diversity

Lucky for us, we are not all the same. Through diversity, we generate power. We run on inclusion and our combined creative energy is fueled by over 130 nationalities. Siemens Energy celebrates character – no matter what ethnic background, gender, age, religion, identity, or disability. We energize society, all of society, and we do not discriminate based on our differences.

 

Application

Don’t hesitate – apply via https://www.siemens-energy.com/global/en/company/jobs.html, id nr 241927 not late...