CareerPlan

Wissenschaftliche/r Mitarbeiter/in (m/w/d)

Rostock, MECKLENBURG_VORPOMMERNFull-time2026-10-08 → 2026-10-22
On-site

Core

Researching approaches to decompose and orchestrate design processes in construction, developing AI methods for automatic building design, and creating models to capture design intent and decisions.

Role type

Research scientist (AI for sustainable construction)

Builds

Autonomous agentic AI systems, demonstrators for validating concepts, and production ML models for automatic design.

Domain

Construction / Architecture / Artificial Intelligence

Deliverable

production ML models

Required skills

Machine Learning / Deep Learning, Large Language Models (LLMs), Agentic Systems, Python, Graph Neural Networks (GNN), Reinforcement Learning from Human Feedback (RLHF), Model Context Protocol (MCP), Skills-based AI, Architectural design process knowledge, Building engineering knowledge

Preferred skills

Experience with autonomous agent systems, experience with architectural design workflows, interest in sustainable construction

Technologies

Python, GNN, RLHF, MCP, LLMs

Responsibilities

Research design decomposition and orchestration in construction, develop AI methods for automatic building design, build autonomous agentic AI systems, integrate existing sub-models for automatic design, validate methods in real-world scenarios, write research reports and publications

Seniority

Junior to Mid-level Researcher (PhD track)