PhD in Materials Science and Physics: Join an interdisciplinary team focused on advancing materials science through the integration of large language models and semantic AI. The position is tailored for candidates who aim to enhance data interoperability, reuse, and reasoning in materials research.
PhD Scholarship Opportunity in Large Language Models and Semantic AI for Data-Driven Materials Science and Physics
Designation
PhD Candidate
Research Area
- Large Language Models
- Semantic AI
- Materials Science
- Data-Driven Physics
Location
Jülich/Aachen, Germany
Eligibility / Qualification
- Completed university degree (Master’s or equivalent) with excellent grades in:
- Computer Science
- Materials Science
- Physics
- Related disciplines
- Practical experience in data science, including application of machine learning methods or large language models (LLMs)
- Proficient in Python programming and Unix/Linux environments
- Interest or experience with semantic web technologies (ontologies, knowledge graphs)
- Excellent command of written and spoken English
- Strong communication and teamwork skills
Description
This PhD position at the Institute for Advanced Simulations focuses on:
- Designing knowledge-graph-augmented transformers for semantic querying in materials science.
- Developing semantic enrichment pipelines for unstructured data.
- Building and maintaining ontologies and knowledge graphs.
- Mining structure-property relationships from diverse datasets.
- Collaborating with experimentalists to validate findings and presenting results at conferences.
Ideal candidates will thrive in a dynamic, interdisciplinary research environment and contribute to cutting-edge AI and materials science advancements.
How to Apply
Interested candidates should submit the following documents:
- CV
- University degree certificates
- Grade transcripts
- Two references/letters of recommendation
- Motivation letter highlighting relevant experience
Applications must be submitted via the specified contact form on the website. Please do not send applications via email.
Last Date for Apply
Applications will be accepted until the position is successfully filled. Early submission is encouraged.
For more information on the application process and additional details, please visit the official webpage.
