AI-Driven Social Simulation Engineer

SLU; Sweden; On-site; SEK 400,000 - 600,000; Full time

Job summary

SLU is seeking a Research Engineer to develop AI-driven social simulations at their Department of Ecology. This role involves building LLM-agent infrastructure and running extensive simulations on GPU clusters.

Candidates should possess strong programming skills, particularly in Python, and a relevant degree. The position is based in Sweden, with a focus on ecological research, requiring an interest in environmental policy. Early application is encouraged before 14 July 2026.

Qualifications

• A degree in computer science, engineering, physics, or applied mathematics.
• Strong programming skills, especially in Python.
• Experience with software engineering practices like version control.

Responsibilities

• Build the LLM-agent infrastructure.
• Maintain the multi-agent simulation framework.
• Run large-scale Monte Carlo simulations.
• Publish and co-author scientific publications.

Skills

Programming skills

Machine learning knowledge

Debugging complex systems

Experience with LLMs

High-performance computing

Interest in environmental policy

Education

Master's in computer science or related field

Tools

Python

GPU workflows

Job description

SLU is seeking a Research Engineer to develop AI-driven social simulations at their Department of Ecology. This role involves building LLM-agent infrastructure and running extensive simulations on GPU clusters.

Candidates should possess strong programming skills, particularly in Python, and a relevant degree. The position is based in Sweden, with a focus on ecological research, requiring an interest in environmental policy. Early application is encouraged before 14 July 2026.