Lawrence Berkeley National Lab’s (LBNL ) Advanced Light Source (ALS ) Division has an opening for a Theoretical and Computational Sciences Postdoctoral Scholar to work on accelerating materials discovery using Artificial Intelligence and Machine Learning techniques (AI/ML).  A broad range of scientific backgrounds will be considered for this role.

The ALS 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 more than 2,000 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 14,000 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 growing team!

What You Will Do:

• Develop data management, analysis and visualization software for a variety of scientific data sets 
• Develop AI/ML tools for multi-modal scientific data sets 
• Contribute to multiple open source projects
• Provide technical leadership in the area of scientific data analysis

What is Required:

• PhD degree in the Physical Sciences, Material Science, Applied Mathematics, Computer Science or related discipline, or equivalent in years of relevant experience.
• Ability to work collaboratively with a diverse team of scientists and engineers 
• Experience and a strong interest in scientific software development or research software engineering
• Demonstrated record of scientific excellence through publications, talks, or software deliverables.
• Experience contributing to a scientific software project in a team environment, which might include co-developing an internal project or contributing to community-based open source software

Desired Qualifications:

• Experience using the open source scientific Python software stack for data analysis
• Knowledge of AI and ML principles and practices
• Contributions to open source scientific software projects 
• Experience creating data analysis methods and procedures
• Demonstrated record in collaborative software development, especially in distributed teams. 
• Experience in data acquisition and analysis at a synchrotron light source, neutron source, or another major scientific user facility 
• Familiarity with widely used AI/ML libraries such as scikit-learn, PyTorch, and TensorFlow

This position will remain open until filled.  

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Notes:

• This is a full-time, 2 year, postdoctoral appointment with the possibility of renewal based upon satisfactory job performance, continuing availability of funds, and ongoing operational needs.
• This position is represented by a union for collective bargaining purposes.
• The monthly salary range for this position is $5,000.00 - $7,385.00 and is expected to start at $6,624.00 or above. Postdoctoral positions are paid on a step schedule per union contract and salaries will be predetermined based on postdoctoral step rates. Each step represents one full year of completed post-Ph.D. postdoctoral and/or related research experience.
• This position may be subject to a background check. Any convictions will be evaluated to determine if they directly relate to the responsibilities and requirements of the position. Having a conviction history will not automatically disqualify an applicant from being considered for employment.
• Work will be performed at Lawrence Berkeley National Lab, 1 Cyclotron Road, Berkeley, CA.

Based on University of California Policy - SARS-CoV-2 (COVID-19) Vaccination Program and U.S Federal Government requirements, Berkeley Lab requires that all members of our community obtain the COVID-19 vaccine as soon as they are eligible. As a condition of employment at Berkeley Lab, all Covered Individuals must Participate in the COVID-19 Vaccination Program by providing proof that vaccination requirements have been met or submitting a request for Exception or Deferral. Visit covid.lbl.gov for more information.

Berkeley Lab is committed to Inclusion, Diversity, Equity and Accountability (IDEA) and strives to continue building community with these shared values and commitments. Berkeley Lab is an Equal Opportunity and Affirmative Action Employer. We heartily welcome applications from women, minorities, veterans, and all who would contribute to the Lab's mission of leading scientific discovery, inclusion, and professionalism. In support of our diverse global community, all qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.

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