Forschungszentrum Julich Large Language Models and Semantic AI PhD Scholarship 2025

Join an interdisciplinary team that brings state-of-the-art AI research together with cutting-edge materials science and physics. Depending on your background you will work collaboratively on the following tasks with either with a stronger model-development or application focus:

• Design knowledge-graph-augmented transformers and retrieval-augmented generation (RAG) pipelines that enable semantic querying and reasoning over materials-science/physics corpora
• Developing pipelines for semantic enrichment of unstructured data, including entity recognition, relation extraction, and automatic ontology alignment in physics and materials domains
• Build and maintain ontologies, OWL/RDF knowledge graphs, SPARQL endpoints, and open benchmarking suites to guarantee FAIR, reusable research data
• Mine and link structure-property relationships from DFT, MD, phase-field, TEM/SEM, and other multimodal datasets from simulation and experiment
• Develop benchmarking protocols and toolkits to evaluate AI models on materials science tasks as well as integrate your semantic-AI services into high-throughput GPU/HPC workflows, contributing to data management, metadata structuring, and semantic annotation
• Collaborate with experimentalists and theorists to validate extracted knowledge via in-situ spectroscopy, synchrotron work, and high-throughput synthesis—and present your results at leading AI and materials conferences

Table of Content

• Summary
• Benefits
• Requirements
• Application Deadline
• How To Apply

Summary

• Application DeadlineNot Specified
• Study LevelPhD
• SponsorForschungszentrum Jülich
• Eligible CountryAll Countries

Benefits

• A dynamic, interdisciplinary research environment at the forefront of materials informatics
• Comprehensive training courses and individual opportunities for personal and professional further development. A structured program of continuing education and networking opportunities specifically for doctoral researchers via JuDocS, the Jülich Center for Doctoral Researchers and Supervisors: https://www.fz-juelich.de/en/judocs
• The opportunity to attend national and international conferences
• Optimal conditions for work-life balance, including a family-friendly corporate policy, flexible working hours, the option for home office days, and 30 vacation days per year
• A creative work environment at a leading research facility, located on an attractive research campus at the TZA Aachen https://tza-aachen.de and the Forschungszentrum Jülich
• Flexible working hours in a full-time position with the option of slightly reduced working hours ( https://go.fzj.de/near-full-time )
• Targeted services for international employees, e.g. through our International Advisory Service

Requirements

• A completed university degree (Master’s or equivalent) with excellent grades in computer science, materials science, physics, or a related discipline
• Practical experience in data science, including the application of machine learning (ML) methods or large language models (LLMs)
• Proficiency in Python programming and confident use of Unix/Linux environments; ideally experience with version control systems (e.g., Git)
• Interest in or experience with semantic web technologies, including metadata schemas, ontologies, or knowledge graphs
• Excellent command of written and spoken English
• Strong communication and teamwork skills, and the ability to work effectively in an interdisciplinary and collaborative research environment

Check also:
2026 Fully Funded Humboldt Research Fellowship
2026 Eutopia PhD Co-tutelle Call

Application Deadline

Not Specified

How To Apply

Are you qualified and interested in this opportunity? Kindly go to Forschungszentrum Jülich on www.fz-juelich.de to apply

For more information, kindly visit Forschungszentrum Jülich scholarship webpage.