Argonne National Laboratory · 1 day ago
Postdoctoral Appointee — AI-Assisted Scientific Visualization and Intelligent Data Exploration
Lemont, IL USA
Full-time
Onsite
New Grad, Entry Level
$73K/yr - $121K/yr
0+ years expArgonne National Laboratory is seeking a postdoctoral appointee to join their Visualization and Data Analytics team. The role involves designing, developing, and evaluating AI-driven scientific visualization assistants to enhance the exploration of large-scale scientific data.
EnergySecuritySocial Impact
No H1B
U.S. Citizen Only
Responsibilities
Research and develop AI-powered visualization assistants that explain, guide, and support scientific data exploration without replacing human judgment
Design human-centered interaction models for AI-assisted visualization, including natural language, mixed-initiative workflows, and immersive or experimental interfaces
Integrate LLM-based and agentic AI systems with scientific visualization frameworks, in situ pipelines, and data analysis workflows
Prototype and evaluate visualization systems using realistic scientific data and simulations, including applications in cosmology, materials, fusion, environmental science, and light source data
Collaborate closely with domain scientists to understand exploration needs and translate them into effective AI-assisted visualization tools
Publish and present research results at leading venues in visualization, AI, and HPC (e.g., IEEE VIS, LDAV, eScience, ISC, SC)
Contribute software, prototypes, and design patterns to shared research infrastructure at ALCF and across DOE projects
Qualification
Required
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
Preferred
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
Benefits
Comprehensive benefits are part of the total rewards package
Company
Argonne National Laboratory
Argonne National Laboratory conducts researches in basic science, energy resources, and environmental management.
1001-5000 employees
Funding
Current Stage
Late StageTotal Funding
$41.4MKey Investors
Advanced Research Projects Agency for HealthUS Department of EnergyU.S. Department of Homeland Security
2024-11-14Grant· $21.7M
2023-09-27Grant
2023-01-17Grant
Leadership Team
Paul Kearns
Laboratory Director
Venkat Srinivasan
Director, Argonne Center for Collaborative Energy Storage Science (ACCESS)
Recent News
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2026-01-17
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