Thesis: Knowledge-Graph AI for Pharma Maintenance (Södertälje)
AstraZeneca
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Job summary
AstraZeneca in Södertälje is offering a thesis worker position focused on building and evaluating a knowledge-graph-based maintenance knowledge base for an LLM-powered agent in pharmaceutical manufacturing. The project involves transforming maintenance records into structured data, extending an information-extraction pipeline, and validating the agent against real-world scenarios.
You will collaborate with operators, maintenance personnel and technical experts to deliver a functional agent and
Qualifications
- Enrolled in a master’s programme in industrial engineering, computer science, artificial intelligence, production systems or a related field.
- Strong interest in LLM‑Ops, agent development and applied artificial intelligence.
- Strong communication and collaboration skills, including ability to interact with operators, engineers and subject‑matter experts.
Responsibilities
- Transform historical maintenance knowledge into a knowledge-graph-based maintenance knowledge base.
- Evaluate an agent powered by a large language model (LLM) for maintenance questions.
- Work with real manufacturing data in a regulated environment and collaborate with operators and technical experts.
Skills
Education
Tools
Job description
AstraZeneca in Södertälje is offering a thesis worker position focused on building and evaluating a knowledge-graph-based maintenance knowledge base for an LLM-powered agent in pharmaceutical manufacturing. The project involves transforming maintenance records into structured data, extending an information-extraction pipeline, and validating the agent against real-world scenarios.
You will collaborate with operators, maintenance personnel and technical experts to deliver a functional agent and
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