[Hiring] Computational Imaging Postdoctoral Fellow @Lawrence Berkeley National Laboratory

Role Description

This role involves the development of computational methods and software for protein structure determination.

• Develop new mathematical approaches and computational algorithms to investigate protein structure and conformational heterogeneity from cryo-electron microscopy (cryo-EM) datasets.
• Focus on developing hybrid approaches that integrate deep generative models with classical optimization techniques, numerical linear algebra, and Fourier analysis.
• Advance optimization algorithms for the refinement of single-particle and subtomogram data to achieve improved structural resolution and interpretability.
• Implement and validate methods using both simulated and experimental datasets.
• Organize and present results to collaborators and the broader scientific community.
• Prepare manuscripts for publication in peer-reviewed journals.

Qualifications

• A recent Ph.D. (within the last 1-2 years) in Computational Biophysics/Physics, Computational Cryo-Electron Microscopy, Applied Mathematics, Computer Science, or a closely related discipline.
• A solid background in Cryo-Electron Microscopy, with an emphasis on reconstruction workflows.
• Experience developing numerical methods for solving inverse problems in imaging including iterative reconstruction techniques, regularization methods, and uncertainty-aware modeling.
• Experience with generative models, variational inference, and physics-informed machine learning approaches.
• Experience coding in Python and PyTorch.
• Knowledge of numerical linear algebra, optimization techniques, and Fourier analysis as applied to imaging and inverse problems.
• Proven ability to design, implement, and evaluate computational algorithms for complex scientific problems.
• Strong organizational skills including experience maintaining detailed and accurate records of experiment results and analyzed data.
• Excellent oral and written communication skills including experience organizing/presenting technical reports and a record of publications in Cryo-Electron Microscopy or closely related fields.
• Demonstrated interpersonal and communication skills including experience conducting experiments independently and collaborating with an interdisciplinary research team.

Requirements

• Experience programming in C/C++/Fortran and use of modern version control tools.
• Familiarity with software development for high-performance computing environments, including MPI, openMP, and GPU-accelerated computing.
• Interest in extending scientific computing and generative modeling to new imaging modalities.

Benefits

• Exceptional health and retirement benefits, including pension or 401K-style plans.
• A culture where you’ll belong - we are invested in our teams!
• Accrue vacation and sick time, plus a Winter Holiday Shutdown every year.
• Parental bonding leave (for both mothers and fathers).

Additional Information

• Priority consideration will be given to candidates who apply with a curriculum vitae (CV) or resume and a cover letter describing their interest in this position by March 6, 2026.
• This is a full-time, exempt from overtime pay (monthly paid), 2-year (benefits eligible), Postdoctoral Fellow appointment with the possibility of renewal based upon satisfactory job performance, continuing availability of funds, and ongoing operational needs.
• The salary range for this position is $7,987 - $8,921 monthly / $95,844 - $107,052 annually.
• This position is subject to a background check.
• This position offers flexibility in work mode, including onsite, hybrid, full-time telework, or remote work, provided the individual resides within the contiguous United States.