Research Engineer, AI-Driven Social Simulations

Ensimag Alumni; Uppsala kommun; On-site; SEK 420,000 - 560,000; Part time

Job summary

Swedish University of Agricultural Sciences (SLU) Ecology Centre and Grimsö Research Station are seeking an ambitious research engineer to join a project building AI-driven large-scale simulations of environmental policy scenarios. You will develop multi-agent LLM-based infrastructure, manage a scalable simulation framework, and run Monte Carlo experiments on GPU HPC clusters.

The role focuses on integrating AI with ecology and political science to stress-test policies, with opportunities to

Qualifications

• A degree in computer science, engineering, physics, applied mathematics, or a related quantitative field (Master or engineering degree sufficient; PhD welcome but not required).
• Strong programming skills in Python and sufficient understanding of machine learning/deep learning to work effectively with modern generative AI systems.
• Experience with software engineering practices such as version control, testing, documentation, modular design, and reproducible workflows.
• Ability to work independently, debug complex systems under time pressure, and take ownership of technical infrastructure.

Responsibilities

• Build the LLM-agent infrastructure from an existing implementation, including multi-tier memory, affect state, and a strategic reasoning layer that tracks reputation, commitments, and mental models of other agents.
• Extend and maintain the multi-agent simulation framework that runs dozens of concurrent LLM instances communicating through structured message-passing protocols, and develop its validation methodology.
• Run large-scale Monte Carlo simulations on GPU-enabled HPC clusters (e.g., NAISS).
• Publish and disseminate project results, co-authoring scientific publications at the intersection of computational social science, ecology, security studies, and AI.

Skills

Python programming

Machine learning

Generative AI

Reproducible workflows

Independent work

Debugging complex systems

Education

Master's or engineering degree in a quantitative field

Tools

Version control

Testing

Documentation

Modular design

Job description

Swedish University of Agricultural Sciences (SLU) Ecology Centre and Grimsö Research Station are seeking an ambitious research engineer to join a project building AI-driven large-scale simulations of environmental policy scenarios. You will develop multi-agent LLM-based infrastructure, manage a scalable simulation framework, and run Monte Carlo experiments on GPU HPC clusters.

The role focuses on integrating AI with ecology and political science to stress-test policies, with opportunities to