Postdoctoral Appointee — AI-Assisted Scientific Visualization and Intelligent Data Exploration

The ALCF has an opening for a postdoctoral position in AI-assisted scientific visualization and intelligent data exploration. The successful candidate will join the Visualization and Data Analytics team and contribute to IDEAS (Intelligent Data Exploration Assistant for Science), a multi-year research effort focused on developing AI-powered visualization systems that enable interactive, human-in-the-loop exploration of extreme-scale scientific data.

This position sits at the intersection of scientific visualization, agentic AI systems, human–computer interaction (HCI), and high-performance computing (HPC). The postdoc will work closely with visualization researchers, AI scientists, and domain application teams across Argonne and the broader DOE ecosystem.

• PhD completed within the last 0–5 years (or near completion) in Computer Science, Computational Science, Visualization, Human–Computer Interaction, or a related field
• Strong background in scientific visualization, visual analytics, or interactive data exploration
• Experience programming in one or more languages such as Python, C/C++, or JavaScript
• Experience with AI or machine learning techniques, including large language models or agentic systems
• Experience developing or integrating interactive visualization systems, including web-based, immersive (XR), or experimental display environments
• Ability to create, maintain, and support high-quality research software
• Experience working collaboratively in multidisciplinary research teams
• Effective written and oral communication skills
• Ability to model Argonne’s core values of impact, safety, respect, integrity, and teamwork

• Experience with in situ visualization, data streaming, or real-time analysis workflows
• Experience with LLMs, conversational agents, or AI-assisted interfaces for scientific or data-driven applications
• Familiarity with HPC environments, distributed systems, or large-scale data pipelines
• Experience with game engines, XR systems, or advanced graphics frameworks applied to scientific data
• Record of publications in visualization, AI, or computational science venues
• Interest in working closely with domain scientists on real-world scientific problems

Please note that the pay range information is a general guideline only. The pay offered to a selected candidate will be determined based on factors such as, but not limited to, the scope and responsibilities of the position, the qualifications of the selected candidate, business considerations, internal equity, and external market pay for comparable jobs. Additionally, comprehensive benefits are part of the total rewards package.

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As an equal employment opportunity employer, and in accordance with our core values of impact, safety, respect, integrity and teamwork, Argonne National Laboratory is committed to a safe and welcoming workplace that fosters collaborative scientific discovery and innovation. Argonne encourages everyone to apply for employment. Argonne is committed to nondiscrimination and considers all qualified applicants for employment without regard to any characteristic protected by law.