Ingenjör

Research Engineer position at SLU's Department of Ecology to build large-scale AI-driven simulations of societal processes using LLM agents. The role involves developing multi-agent infrastructure, running Monte Carlo simulations on HPC clusters, and co-authoring scientific papers. Requires strong Python skills and understanding of generative AI.

• Building LLM-agent infrastructure with multi-tier memory and strategic reasoning layer; extending multi-agent simulation framework; running large-scale Monte Carlo simulations on GPU-enabled HPC clusters; co-authoring scientific publications.

• Degree in computer science, engineering, physics, or related quantitative field; strong programming skills in Python; understanding of machine learning/deep learning; experience with software engineering practices (version control, testing, modular design); ability to work independently.

• Experience with LLMs (APIs and local deployment); deep reinforcement learning, agent-based modelling, or multi-agent systems; high-performance computing with batch jobs and GPU workflows; interest in application domain (nature conservation, environmental policy, complex adaptive systems).