Postdoctoral Researcher – Machine Learning for Accelerator Science (Argonne Wakefield Accelerator)
Postdoctoral Researcher – Machine Learning for Accelerator Science (Argonne Wakefield Accelerator)
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$ 70758 - 117925
1 Vacancy
Job Description
Overview The Argonne Wakefield Accelerator (AWA) Group in the High Energy Physics Division at Argonne National Laboratory seeks a postdoctoral research associate to conduct experimental and computational research in accelerator science and technology. The focus is on developing and applying machine learning (ML) methods for accelerator operations and beam-dynamics optimization in advanced-accelerator applications. This work supports AWAs mission to enable next-generation energy-frontier particle accelerators. The AWA portfolio spans beam-driven wakefield acceleration generation of bright electron beams advanced beam-manipulation for precise electron-beam shaping and ML for accelerator science.
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 productiona 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
Collaboration Environment
Work in close coordination with ML development teams across Argonne (including the Advanced Photon Source) and with collaborators at SLAC
Engage with a multi-lab team that includes scientists from Fermilab and Jefferson Lab
Application Materials Please submit:
Research statement
Official graduate school transcript
CV (including publications and presentations)
Additionally arrange for three letters of recommendation to be sent to. This position will remain open until filled.
Position Requirements
Recent or soon-to-be-completed PhD (within the last 0-5 years) in field of physicsideally in accelerator science or engineeringor 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 Argonnes core values of impact safety respect integrity and teamwork
Preferred Qualifications
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
Job Family
PostdoctoralJob Profile
Postdoctoral AppointeeWorker Type
Long-Term (Fixed Term)Time Type
Full timeThe expected hiring range for this position is $70758.00-$117925.00.Please note that the pay range information is a general guideline only. The pay offered to a selected candidate will be determined based on factors such as but not limited to the scope and responsibilities of the position the qualifications of the selected candidate business considerations internal equity and external market pay for comparable jobs. Additionally comprehensive benefits are part of the total rewards package.
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Employment Type
Full-Time
