Siemens Energy

A Snapshot of Your Day

As a graduate student undertaking a master’s thesis at Siemens Energy, you will develop an NLP pipeline that maps multilingual, typo-prone free-text descriptions from inspection records to our canonical, but incomplete ontology, quantifies the probability that each entry belongs to an existing class versus a genuinely new concept, and refines those estimates with hierarchical priors, cost-sensitive thresholds, and state-of-the-art text embeddings. You will engage with domain experts to review high-uncertainty cases, govern the inclusion of validated novelties, and in doing so streamline our data analysis, elevate data quality, and continually evolve the ontology to support innovation and operational excellence.

How You’ll Make an Impact

• Deliver the basis for an uncertainty-aware pipeline that turns noisy free-text location entries into standardized, high-quality data, giving analysts a solid foundation for accurate trend detection and root-cause investigations.

• Contribute to a governance-ready ontology that grows through expert-validated novelties, ensuring every new concept is traceable, version-controlled, and immediately usable across systems.

• Reduce ambiguity for field-service personnel by surfacing clear, auto-suggested location terms, shrinking reporting effort, error rates, and follow-up questions.

• Free domain experts from routine validation by routing only the highest-value, high-uncertainty cases to them, converting their time into maximum ontology coverage and precision.

• Establish a self-reinforcing feedback loop in which each inspection refines probabilities, closes coverage gaps, and continuously improves both the ontology and downstream analytics.

What You Bring

To be successful in your application for this master thesis opportunity at Siemens Energy, you should have the following qualifications and skills: 

• A strong background in data analysis and ontology development, with experience in handling free-text data.

• Proficiency in machine learning techniques for novelty detection and data classification.

• Excellent problem-solving skills, particularly in setting cost-sensitive decision thresholds for data merging.

• Familiarity with various text representation methods, including character n-grams and transformer encodings, to manage multilingual terms and typos.

• Advanced English proficiency to effectively communicate findings and collaborate with diverse teams.

About the Team 

At the Service Digital Integration department you will work alongside a wide spectrum of disciplines. Expect day-to-day collaboration with solution architects, ontology specialists, and data scientists with deep expertise in data architecture and advanced analytics, as well as mechanical and quality engineers who know every nut and bolt of our products. This cross-functional setting immerses you in a global company at the forefront of new-energy technology and gives you the chance to build a professional network that can drive future collaborations and career opportunities.

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 the Apply button, id nr 282844 no later than 2025-11-11.

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

For questions about the assignment please contact supervisor Gustav Lundberg on gustav.lundberg@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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