Jobs at Argonne National Laboratory

Supports systems modeling, simulation, controls analysis, software verification and validation, and vehicle data analysis for advanced vehicle technology competitions. Develops MIL, SIL, and HIL workflows; evaluates hybrid and electric vehicle systems; processes automotive test data; and contributes to analysis tools, reporting frameworks, and technical guidance. Collaborates with industry, government, university, and supplier partners while mentoring student teams and delivering training on modeling, controls, software development, and engineering analysis.

Conduct experimental particle physics research with the ATLAS experiment at the Large Hadron Collider. Responsibilities include physics analysis, detector performance studies, experiment operations, detector upgrades, scientific programming, software development, and data analysis. The associate will collaborate on silicon detectors, Trigger/DAQ systems, high-performance computing, and machine learning projects in a multidisciplinary research environment.

Conduct basic and applied research on metallization and decarbonized metal production using aqueous, non-aqueous, and molten salt electrolysis. Develop electrolytes, determine physicochemical properties, improve electrolysis processes, and perform materials synthesis, plating, and solution-based processing. Safely handle air-sensitive chemicals and operate gloveboxes. Prepare reports, presentations, and publications while contributing innovative technical solutions in a collaborative laboratory environment.

Supports the design, development, integration, and optimization of Argonne’s high-performance computing environment. Responsibilities include managing Spack environments, compiling and validating scientific software across heterogeneous CPU and GPU architectures, debugging build issues, profiling and tuning applications, reporting defects to external developers, and documenting installation and optimization procedures. The role collaborates closely with researchers, domain scientists, application owners, and open-source communities.

Supports the deployed safety team by implementing environmental, safety, and health programs across laboratory divisions. Responsibilities include collaborating with researchers and management, conducting facility walkthroughs, reviewing experimental plans and job safety analyses, coordinating safety activities, ensuring OSHA and DOE compliance, and providing practical risk-reduction guidance and customer support.

Operate and commission the In Situ Nanoprobe (ISN); support user experiments and x-ray data analysis; collaborate to develop scientific applications and in situ sample environments; develop advanced microscopy methods and instrumentation for the upgraded APS source; present results at conferences and in journals; perform other assigned duties.

Provide operational and strategic HR support to the Physical Sciences and Engineering Directorate. Serve as HR liaison, advise on employee relations, support recruitment, performance management, compensation, workforce planning, HR communications, records management, and HR projects while ensuring policy compliance and confidentiality.

Support multi-cloud, Kubernetes-based infrastructure for DOE's American Science Cloud. Build and maintain CI/CD pipelines, automate provisioning (Terraform/OpenTofu), operate managed clusters (EKS/AKS/GKE), implement DevSecOps controls, configure monitoring (Prometheus/Grafana/Nagios), manage image registries, and provide production operational support and vendor coordination.

Leads operations for Argonne’s Nuclear Technologies and National Security Directorate, advising the Associate Laboratory Director and managing strategic and tactical operational delivery. Oversees fiscal management, risk, safety, quality, IT, infrastructure, space planning, workforce planning, security, administration, and communications through operational managers and subject-matter experts. Develops infrastructure roadmaps, drives continuous improvement, ensures policy compliance, manages cross-functional initiatives, supervises staff, and supports research mission execution in a DOE national laboratory environment.

Designs, analyzes, fabricates, assembles, and tests mechanical and mechatronic systems for synchrotron beamlines and end stations. Collaborates with scientists and multidisciplinary engineering teams, manages project costs and schedules, coordinates vendors and manufacturing, and oversees inspections and commissioning. The role involves precision mechanics, flexure-based positioning, automation, thermal and fluid analysis, and potentially robotics, vacuum systems, X-ray optics, motion systems, and AI/ML engineering tools.

Leads Argonne’s Rapid Prototyping Laboratory and multidisciplinary research in autonomous laboratories, robotics, AI, data infrastructure, and computational science. Responsibilities include supervising and mentoring staff, recruiting researchers, guiding autonomous laboratory hardware and software development, fostering collaborations, reporting research progress, securing scientific impact through publications and presentations, and supporting DOE-relevant research initiatives.

Supports biological and environmental research at synchrotron imaging beamlines by developing experiments, instrumentation, data analysis methods, and scientific applications. Provides user operations support, coordinates engineers and staff, reports project results, mentors students, conducts outreach, and collaborates on cross-facility research projects.

Manages commercial and non-commercial subcontract procurement from pre-award planning through solicitation, evaluation, negotiation, award, administration, modification, termination, and closeout. Coordinates with internal departments, reviews statements of work, develops procurement objectives and evaluation criteria, performs price and cost analyses, ensures regulatory compliance, and provides proactive customer service. The largely remote role requires Central Time availability and may require onsite work.

Design, fabricate, and characterize superconducting photonic quantum devices in CNM cleanrooms and quantum labs. Conduct local and network quantum experiments, collaborate with Argonne, UChicago, and external partners, and contribute to device development including qubits and microwave-optical transducers.

Develop, test, and maintain Python-based software and AI-enabled tools to support scientific workflows. Build data ingestion, database interfaces, automation, web/desktop apps, testing, visualization, and apply ML/LLM methods. Collaborate with multidisciplinary teams, document and deploy reproducible research software, and support long-term maintainability in an on-site Argonne research environment.

Perform design and fabrication of electrochemical reactor prototypes, run electrodeposition experiments in deep eutectic solvents, characterize mass transfer and selectivity under flow, screen and tune DES compositions, collaborate with computational modelers, and prepare reports, conference presentations, and peer-reviewed publications.

Lead and perform independent and collaborative experimental research using UHV surface science and scanning probe microscopy (STM/STS/AFM). Support internal and external CNM users, develop new experimental capabilities, communicate results, and contribute to multidisciplinary research programs in nanoscience and surface science.

Develop and deploy AI/ML methods (including LLMs/agentic AI) for tuning, diagnosis, control, and automation of particle accelerators. Test methods experimentally on the APS injector and upgraded storage ring, support operator decision-making, automate workflows, and analyze beam and system data.

Lead development and execution of a multi‑million‑dollar R&D program advancing stationary energy storage for AI and data centers. Build partnerships, secure funding, translate operational needs into R&D objectives, and oversee teams applying AI/ML, robotic labs, and digital twins to accelerate battery research, manufacturing, and deployment.

Postdoctoral researcher will run high-resolution regional and global simulations of convective storms, evaluate model performance, integrate AI/ML into physical parameterizations, analyze model and observational data, publish results, and collaborate with Earth system scientists and industry partners to improve subseasonal-to-seasonal severe weather predictability.