Thesis (Master) on shopfloor data insights using AI

TN Germany; Garching bei München; Vor Ort; EUR 30.000 - 50.000; Vollzeit

Zusammenfassung

An innovative firm is offering an exciting thesis opportunity focused on shopfloor data insights using AI. This role allows you to engage with cutting-edge projects, applying your theoretical knowledge to real-world challenges. You will work with a dynamic team, developing GenAI-based industrial applications and contributing to academic research. Ideal for master's students eager to explore advanced programming, machine learning, and data analytics, this position fosters a supportive environment that values diversity and personal growth. If you're nearing graduation and seeking a compelling thesis topic, this is the perfect chance to make a significant impact.

Qualifikationen

• Advanced programming skills in extracting information from multi-modal sources.
• Experience with LLM tools and knowledge of Large Language Model topics.

Aufgaben

• Involvement in developing novel GenAI-based industrial applications.
• Writing academic papers and reports related to information extraction.

Kenntnisse

Python

Machine Learning

Deep Learning

Data Analytics

Natural Language Processing (NLP)

Information Extraction

Communication Skills

General Software Development

Ausbildung

Master’s Student at TUM School of Computation, Information and Technology

Tools

LangChain

Git

Semantic Web Technologies (RDF, SPARQL, Protégé)

Jobbeschreibung

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Thesis (Master) on shopfloor data insights using AI, Garching

Job Reference: bf6061488fbe

Location: Garching, Germany

Job Category: Other

EU work permit required: Yes

Posted: 27.04.2025

Expiry Date: 11.06.2025

Job Description:

Mode of Employment: Limited

Start your career with an exciting thesis! As part of our dynamic team, you will work on pioneering projects and can put your theoretical knowledge directly into practice.

What we offer you

• Involvement in developing novel GenAI-based industrial applications
• Support of our international research team inside & outside Siemens
• Responsibility for work packages related to information extraction from multi-modal sources, LLM-based solutions, etc.
• Writing academic papers, invention disclosures, and reports

You’ll make an impact by

• Being a master’s student at TUM School of Computation, Information and Technology
• Having advanced programming skills in extracting information from multi-modal sources (e.g., PDFs, images)
• Possessing advanced Python skills and knowledge of Large Language Model topics (e.g., RAG)
• Having experience with LLM tools like LangChain, LLM API Calls
• Having experience in Machine Learning, Deep Learning, Data Analytics, or NLP
• Practical knowledge of Git
• General software development skills (clean code)
• Optional: Experience with Semantic Web Technologies (RDF, SPARQL, Protégé)
• Optional: Web application development skills
• Excellent communication skills and fluency in English

We value your personality and potential, fostering a diverse and supportive environment. We welcome applications from individuals with disabilities.

About us

Siemens offers an innovative environment for your thesis. If you are nearing graduation and seeking a compelling thesis topic, consider us!