APEX (AI Program for EXploration) Postdoctoral Researcher
About The Position
We are seeking creative Postdoctoral researchers to bridge the gap between leadership-class supercomputing and cutting-edge open science in the area of AI and Machine Learning. Successful candidates will be working with ALCF’s technical teams (e.g., AI/ML, Data Science, Performance Engineering) and will focus on collaborative APEX research projects. We are looking to hire four Postdoctoral Appointees to support this project. The position will remain posted online until all four positions are filled. Key Responsibilities: Project Execution: Collaborate with domain scientists to experiment with and integrate emerging AI techniques (e.g., agentic workflows, LLMs) into scientific problems, ensuring methods effectively solve real domain challenges. Advanced Model Development: Design and debug implementations for agentic AI, LLM deployment, and automated laboratory integrations (e.g., self-driving labs). Facility Support & Training: Dedicate a portion of time to general ALCF user support, including troubleshooting user issues, delivering training sessions, and creating high-quality documentation to benefit the broader user community. Cross-Team Collaboration: Act as an embedded expert within an ALCF technical group, translating facility capabilities into practical solutions for users. Scientific Engagement: Contribute to publications, technical reports, and quarterly progress updates; present results at conferences and ALCF/DOE venues.
Requirements
- Ph.D. in Computer Science, Physics, Chemistry, Biology, Engineering, Mathematics, or a related computational discipline (completed within the last 5 years or nearing completion in 2026).
- Proven ability to conduct independent research or technical development, analyze complex systems, and publish results or deploy production-quality software.
- Strong software development skills, particularly in Python or C++, with experience in data analysis, simulation, or workflow scripting.
- Excellent verbal and written communication skills, with the ability to create clear documentation and effectively teach complex technical concepts to users.
- A demonstrated ability to work effectively within interdisciplinary teams and a strong service-oriented mindset.
- Ability to model Argonne's core values of impact, safety, research, integrity and teamwork.
Nice To Haves
- AI/ML Development: Experience with modern AI frameworks (e.g., PyTorch, JAX) and model development is highly desirable.
- Emerging Technologies: Familiarity with Agentic toolkits (e.g., LangChain, AutoGen), LLM deployment, or RAG pipelines.
- High Performance Computing (HPC): Experience with parallel computing (MPI, OpenMP, CUDA/HIP) or running workflows on supercomputing clusters.
- Software Engineering: Knowledge of version control (Git), containerization (Docker/Singularity), and CI/CD workflows.
Responsibilities
- Collaborate with domain scientists to experiment with and integrate emerging AI techniques (e.g., agentic workflows, LLMs) into scientific problems.
- Design and debug implementations for agentic AI, LLM deployment, and automated laboratory integrations (e.g., self-driving labs).
- Dedicate a portion of time to general ALCF user support, including troubleshooting user issues, delivering training sessions, and creating high-quality documentation to benefit the broader user community.
- Act as an embedded expert within an ALCF technical group, translating facility capabilities into practical solutions for users.
- Contribute to publications, technical reports, and quarterly progress updates; present results at conferences and ALCF/DOE venues.
Benefits
- comprehensive benefits are part of the total rewards package.
- Click here to view Argonne employee benefits!
- 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.
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
Education Level
Ph.D. or professional degree
