Argonne National Laboratory · 3 months ago
Postdoctoral Researcher – Machine Learning for Accelerator Science (Argonne Wakefield Accelerator)
Lemont, IL USA
Full-time
Onsite
New Grad, Entry Level
$71K/yr - $118K/yr
0+ years expArgonne National Laboratory is seeking a Postdoctoral Researcher in Machine Learning for Accelerator Science within the High Energy Physics Division. The role involves conducting experimental and computational research to develop and apply machine learning methods for optimizing accelerator operations and beam dynamics, supporting next-generation particle accelerators.
EnergySecuritySocial Impact
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
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
Preferred
Background in beam dynamics and electron sources
Background with wakefield acceleration techniques and diagnostics
Experience with ML frameworks such as PyTorch or TensorFlow
Experience with the software stack used at AWA: PyEPICS, GitHub, NumPy, SciPy, Matplotlib
Strong experimental skills, curiosity, and initiative in research projects
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
H1B Sponsorship
Argonne National Laboratory has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
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Distribution of Different Job Fields Receiving Sponsorship
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Trends of Total Sponsorships
2022 (6)
2021 (2)
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
Raeanna Sharp- Geiger
COO
Paul Kearns
Laboratory Director
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