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#forschung#wissenschaft#innovation
Master thesis »Extraction of structured materials data through large language models«
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Einführung
The Fraunhofer IWM is seeking a master's thesis candidate to work on extracting structured materials data using large language models, contributing to innovative research in materials science.
Aufgaben
- Extract materials information from a literature corpus and image data in a targeted and automated manner.
- Convert extracted information into a structured data format.
- Conceptualize, apply, and refine language models or language model systems that can handle multimodal data.
- Use combinations of different language models with tools for database queries, API calls, or model inference.
- Ensure conformity with a material science application ontology using schema languages like JSON schema.
- Build a bridge between unstructured data sources and existing knowledge graphs.
Voraussetzungen
- Studying computer science, computer engineering, computational methods in engineering, or a related subject.
- Familiarity with programming in Python.
- Understanding of the functional principle of language models.
- Initial experience with API endpoints for language model inference.
- Preliminary experience in fine-tuning language models.
- Enjoy working in interdisciplinary teams.
- Systematic and analytical way of working.
- Proficiency in English.
Benefits
- Flexible working hours and mobile working.
- Emergency childcare and parent-child office for family emergencies.
- Employee discounts on events, furniture, clothing, and more.
vor etwa 19 Stunden
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