Siemens Energy

A Snapshot of Your Day

Siemens Energy, Finspång, 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 of a gas turbine is monitored by hundreds of sensors. Over time some parts of the measurement chains get broken, experience disturbances, or are being replaced with slightly different components, etc. These errors, being visible enough, will eventually be found and corrected. If not, they can negatively impact the performance and lifetime of the gas turbine. 

With help of machine learning algorithms these degraded signals could potentially be found at an earlier stage. Having reliable sensor readings is further the enabler of more advanced ML models estimating the gas turbine health.

Many of the sensors in a gas turbine are heavily correlated, especially during specific operation conditions. Mapping these correlations and the changes thereof will give indications if there is a broken sensor or if a process change is taking place.

The scope of this Diploma Thesis is to continue the work of robustness of soft sensors. We are looking for two students, and you will be a part of a larger cooperation in a Vinnova sponsored project.

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

How You’ll Make an Impact

• Understand the measurement system architecture, the ingoing components and previous work.
• Work on a methodology how to implement develop and maintain soft sensors. (Literature study)
• To run algorithms on fleet measurement data and analyze the deviations between physical sensors and the soft implementations.
• 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.

Who is Siemens Energy?

At Siemens Energy, we are more than just an energy technology company. With ~100,000 dedicated employees in more than 90 countries, we develop the energy systems of the future, ensuring that the growing energy demand of the global community is met reliably and sustainably. The technologies created in our research departments and factories drive the energy transition and provide the base for one sixth of the world's electricity generation. 

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. 

Find out how you can make a difference at Siemens Energy: https://www.siemens-energy.com/employeevideo

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 Apply Button, id nr 294646 no later than 2026-05-11.

Ongoing selection is applied, the role might be filled before last application date.

For questions about the role, please contact the supervisor Jonas Deurell on jonas.deurell@siemens-energy.com

For questions about the recruitment process please contact the responsible recruiter Ermina Imamovic on ermina.imamovic.ext@siemens-energy.com

We refrain from all contact with staffing and recruitment companies, or advertising brokers.

Location: Finspång

Trade Union Representatives:
Unionen, unionen.finspang.se@siemens-energy.com
Sveriges Ingenjörer & SACO, asi.se@siemens-energy.com
Ledarna, Anders Fors, anders.fors@siemens-energy.com
IF Metall, Mikael Malmgren, mikael.malmgren@siemens-energy.com

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