About the Role
Oestergoetlands laen
About the Role
Finspaang
About the Role
Master thesis Predictive Maintenance and Degradation Prognostics
A Snapshot of Your Day
How do we predict aging, from a truck tire or bearing to an aircraft engine or steam turbine? In this master’s thesis, you will investigate how predictive maintenance is moving beyond condition monitoring toward model-driven prediction of degradation, remaining useful life, and maintenance needs.
You will combine academic research with industrial perspectives from Siemens Energy experts in Sweden and Germany. Your work will help create a practical framework for selecting predictive maintenance strategies based on technical, operational, economic, and safety requirements.
How You’ll Make an Impact
- Map the state of the art in monitoring, diagnosis, degradation prediction, and prognostics across multiple asset classes and industries.
- Compare heuristic, analytical, physics-based, statistical, and AI-enabled approaches, including the data and physical quantities they use.
- Develop comparative case studies covering condition monitoring, data acquisition and processing, anomaly and fault detection, degradation prognostics, and maintenance decision-making.
- Create a taxonomy that compares maturity, applicability, data requirements, benefits, limitations, and key technology drivers.
- Translate your findings into a selection framework that explains why different approaches are chosen and when each strategy is most suitable.
- Present actionable insights to Siemens Energy experts and academic stakeholders.
What You Bring
- You are enrolled in a relevant engineering master’s program and are eligible to complete a 30 ECTS thesis during spring 2027.
- You are currently enrolled in a master’s or Master of Science in Engineering program, or equivalent, in energy engineering, electrical engineering, mechanical engineering, industrial engineering and management, or a related field.
- You have a broad, multidisciplinary interest in engineering systems, maintenance, reliability, data analysis, or related fields.
- You enjoy structured research and can critically compare academic methods with industrial applications.
- You communicate confidently in English, both in writing and in discussions with an international team.
- You are self-driven, comfortable working independently, and able to collaborate effectively in a remote environment.
- Knowledge of predictive maintenance, condition monitoring, statistics, modeling, or AI is an advantage, but not a requirement.
About the Team
The thesis is conducted in cooperation with Siemens Energy and is intended for two students. You will receive methodological guidance and industrial insights from experts based in Finspång, Sweden, and Mülheim an der Ruhr, Germany. The collaboration brings together experience in monitoring, data processing and ageing prognosis for materials, components and machines within the Siemens Energy portfolio.
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.
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.
Inom divisionen Gas Services erbjuder vi energilösningar med noll eller låga utsläpp baserat på våra gasturbiner samlade under ett tak och tillsammans med ångturbiner samt generatorer. Genom service, modernisering och digitalisering av den levererade flottan skapar vi möjligheter för ett minskat klimatavtryck.
Vi kan erbjuda dig förmånliga anställningsförmåner såsom arbetstidsförkortning, förskottssemester, friskvårdsbidrag och ev. möjlighet till flexibel arbetsplats.
Join Our Team at Siemens Energy!
Are you ready to be part of a team that is shaping the future of energy? Within the Gas Services division, we offer energy solutions with zero or low emissions based on our gas turbines, all under one roof, alongside steam turbines and generators. Through service, modernization, and digitalization of the delivered fleet, we create opportunities for a reduced climate footprint.
We can offer you attractive employment benefits such as reduced working hours, advance vacation, wellness allowances, and potential options for flexible workplaces.
Who is Siemens Energy?
At Siemens Energy, we are more than just an energy technology company. We meet the growing demand for energy in over 90 countries while contributing to climate protection. With more than 100,000 dedicated employees, we not only generate electricity for over 16% of the world’s population but also use our technology to 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 manage a 150-year legacy of innovation that encourages us to seek individuals who support our focus on reducing carbon emissions, new technologies, and energy transformation.
How can you make a difference at Siemens Energy?
Watch here: Siemens Energy Employee Video
Our Commitment to Diversity
Fortunately, we are all different. Through diversity, we generate strength. We are driven forward by inclusion, and our collective creative energy comes from approximately 130 different nationalities. At Siemens Energy, we see diversity as a given—regardless of ethnic background, gender, age, religion, identity, or ability. We provide energy to the community, the entire community, and we do not discriminate based on our differences.
Application Process
Don’t hesitate—submit your application via Siemens Energy Careers, ID number 304454, by October 2, 2026.
Ongoing selection applies; the position may be filled before the application deadline.
Location: Finspång
Union Representatives:
- Unionen: unionen.finspang.se@siemens-energy.com
- Sveriges Ingenjörer & SACO: asi.se@siemens-energy.com
- Ledarna: Anders Fors, ledarnaklubbenseab@siemens-energy.com
- IF Metall: Mikael Malmgren, mikael.malmgren@siemens-energy.com
Enrolled in a master's or Master of Science in Engineering program in energy, electrical, mechanical, industrial engineering or related field; eligible for 30 ECTS thesis; strong English communication; self-driven and able to work independently in a remote environment.
Key Responsibilities
- researching predictive maintenance
- developing selection frameworks
- comparing analytical approaches
Job Details
- Category: Research and Development (R&D)
- Seniority: No Prior Experience Required
- Commitment: Full Time, Part Time, Internship
- Workplace: Remote — Finspaang, Oestergoetlands laen, Sweden
- Languages: English
Benefits
- Generous paid time off
About Siemens Energy
An energy technology company providing sustainable, reliable, and affordable energy solutions. — Industry: Information Technology