Come join Lawrence Berkeley National Lab’s (LBNL) Advanced Light Source (ALS) Division as an X-ray Optics and Machine Learning Postdoc! You will work on the forefront of scientific breakthroughs with the DREAM beam project and the ALS Computing team. This groundbreaking initiative leverages machine learning for automated alignment and cutting-edge x-ray adaptive optics to shape coherent x-ray wavefronts with nanometer precision, unlocking new possibilities for transformative research. If you’re passionate about innovation, machine learning, and collaborative science, this is your chance to make a mark at the forefront of x-ray technology!
The Advanced Light Source is a U.S. Department of Energy (DOE) Office of Science national scientific user facility whose excellent scientific reputation, expert staff, and capabilities in the soft x-ray, hard x-ray, and infrared regimes attract about 1,600 academic and industrial users each year in disciplines spanning physical, chemical, materials, biological, energy, and Earth sciences. It is one of five Berkeley Lab user facilities that serve a combined 15,000 users annually. The co-location of these user facilities – including the Molecular Foundry Nanoscale Science Research Center and the NERSC scientific computing center, as well as Berkeley Lab’s outstanding programs in materials and chemical sciences, among others – offers a prime environment for collaborative science. The ALS has been a global leader in soft x-ray science for more than two decades and is currently undergoing a large-scale upgrade (ALS-U) that will endow the facility with state-of-the-art x-ray capabilities. It’s an exciting time to join our team!

DESIRED QUALIFICATIONS:

• Knowledge of adaptive optics (visible or x-ray).
• Hands-on experience with instrument controls (e.g., EPICS, Bluesky).
• Familiarity with synchrotron optics or beamline simulations.
• Proficiency in Python and a solid grasp of AI/ML principles.
• Background in Signal Processing
• Familiarity with High-Performance Computing scalability.
• Expertise in Optimization Algorithms
• Knowledge of X-ray Coherence Phenomena
  In addition to working on cutting-edge research, you will collaborate with other DOE light source facilities and have the opportunity to further develop your skills in machine learning and adaptive optics. If you are a motivated and collaborative scientist or engineer with a PhD in a relevant field, apply now to join our team!

• Drive innovation by implementing wavefront sensing data analysis and adaptive optics controls.
• Build machine learning tools to revolutionize automated alignment of optical systems.
• Conduct hands-on measurements at a pilot beamline, turning ideas into real-world results.
• Collaborate with leading DOE light source facilities (APS, NSLS-II, LCLS-II) and amplify your impact across the scientific community.
• Contribute to Scientific Publications and Presentations
• Design and Optimize Experimental Workflows
• Integrate Multi-Modal Data
• Mentor Junior Team Members