Master Thesis - Building Knowledge Graphs and Creating Queryable Data Warehouses Through LLM Methodology for Supply Chain Intelligence (LLM)

Location: Lund, Sweden

Company

hirify.global develops network technology and intelligent security solutions including video surveillance, access control, intercom, and audio systems.

What you will do

• Build a structured knowledge graph representing supply chain expertise, supplier ecosystems, distributor networks, and their relationships.
• Create queryable data warehouse capabilities using LLM methodology and natural-language data access.
• Integrate knowledge from ERP, CRM, financial, manufacturing, logistics, and internal application data sources.
• Investigate how domain semantics can help LLMs ask intelligent questions against distributed warehouse data.
• Compare knowledge-graph-based querying and impact analysis with improved schema documentation approaches.
• Complete the 30-credit master thesis as two students working together.

Requirements

• Currently studying a master’s program in Computer Science, Technical Physics, Mathematics, Industrial Engineering, or an equivalent technical discipline.
• Strong fundamentals in data structures, algorithms, and software engineering.
• Experience with Python and SQL, including complex queries and data transformation scripts.
• Experience with Git and GitHub for version control and collaborative development.
• Experience with knowledge graphs or graph databases such as Neo4j, ontologies, RDF, or property graphs.
• Must be affiliated with a Swedish university or college, directly or through an exchange program.

Nice to have

• Familiarity with dbt or similar data transformation frameworks.
• Understanding of LLMs, prompt engineering, or retrieval-augmented generation.
• Basic understanding of supply chain concepts or domain-driven design.
• Experience with REST or GraphQL API development.

Culture & Benefits

• Collaborative work in pairs on a real-world data engineering and supply chain intelligence challenge.
• Opportunity to work with large, complex datasets and emerging AI technologies.
• Work within an open and collaborative organization focused on inclusion, diversity, and sustainability.
• Background checks may apply to certain roles, with notice provided before any action.

Hiring process

• Submit an application through the thesis proposal advert in Swedish or English.
• Attach a CV and university or college grade summary.
• Applicants for the two-student proposal should apply separately and identify their co-applicant.