Location:

Ludvika, Dalarna County, Sweden

Job ID:

R0107304

Date Posted:

2025-09-30

Company Name:

HITACHI ENERGY SWEDEN AB

Profession (Job Category):

Administration & Facilities

Job Schedule: 

Part time

Remote:

No

Job Description:

The opportunity: 

We are looking for a master thesis student at our R&D department, would like to join our multinational organization with lots of development opportunities. Our team is dedicated to creating a future where innovative digital technology brings cleaner energy to people around the world. If this opportunity excites you, we encourage you to apply!

 

In large-scale engineering environments, requirement management platforms like Polarion contain thousands of interconnected requirements, specifications, and design documents. Manual review of these requirements for completeness, consistency, and traceability is time-consuming and error prone. Retrieval-Augmented Generation (RAG) offers a novel approach by combining semantic search with generative AI to assist engineers in reviewing requirements intelligently.

 

How you'll make an impact: 

• Develop and deploy cutting-edge transformer-based models to convert complex requirements into semantic vectors for high-precision retrieval.

• Build a robust vector search engine and integrate it with a powerful LLM to detect inconsistencies, missing dependencies, and improvement opportunities across thousands of interconnected documents.

• Evaluate the assistant’s performance using real-world data and metrics like precision, recall, and user feedback—delivering insights that shape future engineering workflows.

• Deliver a working prototype that enhances review efficiency and quality, empowering engineers to make faster, more informed decisions.

• Contributes to the evolution of AI-assisted requirement management by publishing findings and recommending best practices for integrating RAG into enterprise systems.

• Living Hitachi Energy’s core values of safety and integrity, taking responsibility for your actions while caring for colleagues and the business.  

 

Your background: 

• Bachelor’s degree in computer science, Software Engineering, Data Science, or a related field.

• Proficiency in Python and experience with machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch).

• Familiarity with natural language processing and transformer-based models (e.g., BERT, OpenAI embeddings).

• Experience with requirement management tools (e.g., Polarion) and APIs.

• Knowledge of vector databases (e.g., FAISS, Pinecone) and semantic search techniques.

• Prior experience in AI-based document analysis or requirement engineering is advantageous.
   

More about us: 

Are you ready for an exciting new challenge? Does the above description sound like you? Applications will be reviewed on an ongoing basis, so don’t delay – apply today!  Recruiting Manager: Lucas Bottura, [email protected]  and thesis supervisor: Hasan Basri Celebi, [email protected] will answer your questions about the position.

Don’t hesitate – apply today and let us learn more about you and the unique contributions you can bring to our team.

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