PhD Data Analysis & Simulation - LLM‑Supported Data Analysis Battery Testing Data (all genders)
Tasks
- Analyze battery cell testing data
- Apply agent based LLM systems
- Detect hallucinations
- Develop knowledge graph based methods
- Evaluate LLM generated analyses
- Fine-tune language models
- Implement RAG for engineering workflows
- Integrate LLMs into data analysis workflows
- Monitor and control LLM decision-making
- Train LLM based battery expert
Perks/Benefits
- Close Technical Supervision
- Flexible working hours
- Interdisciplinary Qualification Opportunities
- Paid vacation
- Regular Feedback Meetings
- Scientific exchange
Skills/Tech-stack
Agents | Apache Spark | Data Analysis | Data Quality | Data quality assessment | Fine Tuning | Hallucination detection | Knowledge graphs | Language Models | Large Language Models | Python | Quality Assessment | Retrieval-Augmented Generation | SQL | Statistical Evaluation
Education
Roles
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