LLM-Enhanced High-Fidelity Battery Manufacturing Simulation

Scania; Stjärna; On-site; SEK 89,000 - 134,000; Full time

Job summary

Scania invites Master’s students to contribute to a focused project on LLM-assisted high-fidelity simulation within battery manufacturing. You will work with factory simulation models and explore AI support to streamline the simulation workflow.

The goal is to evaluate benefits, limitations and trust levels of AI-assisted simulation, deliver a demonstrator, and present findings to relevant organisation units. Start is January 2027 with a 20-week engagement (800 hours per student).

Qualifications

• Experience with simulation modelling and validation.
• Ability to analyse complex data and derive insights.
• Familiarity with AI/LLM concepts is a plus.

Responsibilities

• Understand the current simulation process and select relevant use cases.
• Develop and evaluate high-fidelity factory simulation models.
• Apply LLM/AI support to selected parts of the simulation process, including creation/modification of models, input data changes, rerunning simulations, and analysis/reporting of results.
• Compare LLM/AI-assisted work with conventional simulation approaches.
• Evaluate benefits, limitations, risks and the level of trust in results.
• Identify where human validation is required and where AI should not be used.
• Develop and demonstrate the final solution and document conclusions in a final report to Scania.

Skills

Simulation

Data science basics

AI/LLM concepts

Education

Master's degree program in simulation, data science or engineering

Job description

Scania invites Master’s students to contribute to a focused project on LLM-assisted high-fidelity simulation within battery manufacturing. You will work with factory simulation models and explore AI support to streamline the simulation workflow.

The goal is to evaluate benefits, limitations and trust levels of AI-assisted simulation, deliver a demonstrator, and present findings to relevant organisation units. Start is January 2027 with a 20-week engagement (800 hours per student).