Job Summary
The Researcher will be tasked with the creation and verification of artificial intelligence and machine learning workflows specifically designed for accelerator operations. This role involves the integration of digital twins and surrogate models into the Osprey platform, alongside the execution of beam studies aimed at enhancing the performance of accelerators.
Responsibilities
- Develop and validate AI and machine learning workflows for accelerator operations.
- Integrate digital twins and surrogate models within the Osprey platform.
- Conduct beam studies to assess and optimize accelerator performance.
Qualifications
- A Ph.D. in physics, accelerator physics, or a closely related discipline.
- No more than 3 years of postdoctoral experience.
- Strong proficiency in Python and scientific computing.
- A solid grasp of the fundamental principles of accelerator physics.
Lawrence Berkeley National Laboratory provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
