Master Thesis on AgentOPS Frameworks & Infrastructure

About the role

We are looking for a master‑level student to join Bosch R&D Center Lund for a part‑time thesis focused on AgentOPS frameworks and infrastructure. The project explores generative AI‑driven multi‑agent systems, their deployment options and operational management.

Key responsibilities

• Investigate emerging frameworks and platforms for managing LLM‑based agents.
• Set up a prototype multi‑agent system on Bosch’s infrastructure.
• Evaluate deployment scenarios (local PC, on‑premises hardware, cloud) considering cost and data integrity.
• Document capabilities, limitations and design‑time versus run‑time decisions.
• Collaborate with the Lund team and contribute to project reports.

Required profile

• Master’s student in Computer Science, Software Engineering or a related field.
• Strong interest in generative AI, large language models and autonomous software agents.
• Ability to work onsite in Lund and manage part‑time commitments.

Required skills

• Familiarity with GitHub Copilot and ChatGPT or similar LLM tools.
• Basic understanding of cloud and on‑premises deployment concepts.

What we offer

• Hands‑on experience with cutting‑edge AI technologies.
• Mentorship from experts in secure connected mobility solutions.
• Opportunity to shape the thesis direction based on findings.