Forskningsingenjör inom AI-drivna sociala simuleringar
Core
Building large-scale AI-driven social simulations of societal processes (environmental negotiations, nature conservation policy) where actors are autonomous LLM agents to forecast policy outcomes and stress-test governance.
Role type
Research Engineer (AI-driven social simulations)
Builds
Multi-agent simulation frameworks and large-scale Monte Carlo experiments
Domain
Ecology, political science, and AI
Deliverable
production ML models
Required skills
Python, machine learning, deep learning, software engineering practices, GPU cluster management, Monte Carlo simulations
Preferred skills
LLM API usage and deployment, deep reinforcement learning, multi-agent system design, high-performance computing
Technologies
Python, LLMs, GPU clusters, Monte Carlo methods
Responsibilities
Build LLM agent infrastructure with memory and affect states; develop and maintain multi-agent simulation framework; run large-scale Monte Carlo simulations on GPU clusters; co-author scientific publications
Seniority
Mid-level, hands-on IC
