LLRF & Accelerator Controls Scientist

Stanford University; Palo Alto (CA); On-site; USD 150,000 - 210,000; Full time

Job summary

SLAC National Accelerator Laboratory is seeking a Low-Level RF and Control Systems Specialist to advance next-generation LLRF architectures and integration with accelerator controls. The role focuses on RFSoC-based digital systems, modern timing, and high-stability RF control for NLCTA facilities.

The candidate will design, implement, and commission digital LLRF systems, collaborate with firmware and instrumentation teams, and mentor researchers.

Qualifications

• PhD in physics, electrical engineering, or related field with at least 4 years of relevant experience.
• Experience designing and implementing low-level RF control systems for accelerators.
• Proficiency with EPICS and accelerator control environments.
• Strong programming skills in Python and MATLAB; data analysis proficiency.

Responsibilities

• Design and implement next-generation LLRF control systems using RFSoC and DSP architectures.
• Lead transition of legacy controls and DAQ to updated platforms including timing system modernization.
• Architect complex, multi-project control system integration from concept to commissioning.
• Develop novel DSP techniques to improve RF field stability and feedback performance.
• Collaborate with instrumentation and software teams; mentor junior staff and postdocs.

Skills

LLRF systems

RFSoC FPGA

EPICS

Python programming

MATLAB

DSP engineering

Education

PhD in physics / electrical engineering or related field

Tools

FPGA development

RF testing

Job description

SLAC National Accelerator Laboratory is seeking a Low-Level RF and Control Systems Specialist to advance next-generation LLRF architectures and integration with accelerator controls. The role focuses on RFSoC-based digital systems, modern timing, and high-stability RF control for NLCTA facilities.

The candidate will design, implement, and commission digital LLRF systems, collaborate with firmware and instrumentation teams, and mentor researchers.