Postdoctoral Appointee — AI-Assisted Scientific Visualization and Intelligent Data Exploration
Core
Design, develop, and evaluate AI-driven scientific visualization assistants that support intuitive, context-aware interaction with large-scale simulation and experimental data.
Role type
Postdoctoral Researcher (AI-assisted scientific visualization and intelligent data exploration)
Builds
AI-powered visualization systems and agentic AI tools for interactive, human-in-the-loop exploration of extreme-scale scientific data
Domain
Scientific visualization, agentic AI systems, human–computer interaction (HCI), and high-performance computing (HPC)
Deliverable
production ML models | product features | research
Required skills
scientific visualization, visual analytics, interactive data exploration, Python/C/C++/JavaScript programming, AI/machine learning techniques, large language models, agentic systems, interactive visualization systems development, high-quality research software creation
Preferred skills
in situ visualization, data streaming, real-time analysis workflows, LLMs/conversational agents for scientific applications, HPC environments, distributed systems, large-scale data pipelines, game engines/XR systems, advanced graphics frameworks
Technologies
Python, C/C++, JavaScript, LLMs, agentic systems, XR, game engines
Responsibilities
Research and develop AI-powered visualization assistants that explain, guide, and support scientific data exploration; Design human-centered interaction models for AI-assisted visualization; Integrate LLM-based and agentic AI systems with scientific visualization frameworks; Prototype and evaluate visualization systems using realistic scientific data and simulations; Collaborate closely with domain scientists to understand exploration needs; Publish and present research results at leading venues in visualization, AI, and HPC
Seniority
Postdoctoral, hands-on research
