Apply on Employer Site

Argonne National Laboratory · 1 month ago

Postdoctoral Researcher – Machine Learning for Accelerator Science (Argonne Wakefield Accelerator)

Lemont, IL

Full-time

Onsite

Mid, Senior Level

$71K/yr - $118K/yr

0+ years exp

Argonne National Laboratory is seeking a postdoctoral research associate in the Argonne Wakefield Accelerator (AWA) Group to conduct research in accelerator science and technology. The role focuses on developing and applying machine learning methods for optimizing accelerator operations and beam dynamics in advanced applications.

EnergySecuritySocial Impact

Culture & Values

No H1B

U.S. Citizen Only

Responsibilities

Develop and deploy ML algorithms for autonomous operations and optimization of beam dynamics, beginning with macroscopic beam control (e.g., centroid and beam size) and advancing to techniques that enhance high-power, high-frequency radiation generation via wakefield production—a key element of the two-beam acceleration concept

Emphasize Bayesian optimization approaches and integrate these methods into the facility control system

Design, execute, and analyze accelerator experiments; lead experimental campaigns and contribute to operations as needed

Shape independent research directions and collaborate to apply ML tools across AWA experiments

Document methods and results; present findings internally and at external conferences; contribute to publications

Qualification

Machine LearningPythonBeam DynamicsArtificial IntelligenceML FrameworksAnalytical SkillsProblem-SolvingCommunication SkillsOrganizational SkillsCollaborative Mindset

Required

Recent or soon-to-be-completed PhD (within the last 0-5 years) in field of physics—ideally in accelerator science or engineering—or a closely related field

Demonstrated experience or strong interest in artificial intelligence and machine learning, particularly for control applications

Proficiency in Python

Strong analytical and problem-solving skills

Ability to work independently and collaboratively with scientists, engineers, and technicians

Excellent written and verbal communication skills

Collaborative mindset; works effectively with internal and external partners in a transparent, collegial environment

Demonstrated ability to think independently and innovatively to develop creative solutions

Strong organizational skills and attention to detail

Ability to model Argonne's core values of impact, safety, respect, integrity, and teamwork