Join the Advanced Light Source (ALS ) Division at Lawrence Berkeley National Lab (LBNL ) as a Multimodal Machine Learning Postdoctoral Fellow.

In this role you will work on accelerating materials discovery using Artificial Intelligence and Machine Learning techniques (AI/ML).  Lead the design and development of a software package to analyze multimodal scientific data collected at the Advanced Light Source. You will collaborate with a diverse team of scientists to develop physics-informed ML approaches for multimodal analysis.

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 nearly 1,700 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 11,000 users annually. 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!

What You Will Do:

• Develop physics-informed machine learning solutions to analyze multimodal scientific data sets.

• Provide technical leadership in the area of scientific data analysis.

• Contribute to collaborative open source projects.

• Collaborate closely with scientists, engineers, and technical support staff at the ALS to conduct experiments.

• Provide training to colleagues and write excellent documentation.

• Present research findings via oral presentations at scientific meetings, conferences, and peer reviews.

What is Required:

• PhD degree in the Physical Sciences, Material Science, Applied Mathematics, Computer Science or related discipline.

• Experience in scientific software development.

• Knowledge of AI and ML principles and practices.

• Ability to work collaboratively with a diverse team of scientists and engineers.

• Demonstrated record of scientific excellence through publications, talks, or software deliverables.

Desired Qualifications:

• Experience using the open source scientific Python software stack for data analysis.

• Familiarity with widely used AI/ML libraries such as scikit-learn, PyTorch, and TensorFlow.

• Experience in data acquisition and analysis at a synchrotron light source, neutron source, or another major scientific user facility. 

• General understanding of x-ray-based techniques, such as XPS, XAS and X-ray scattering.

• Contributions to open source scientific software projects.

• Experience creating data analysis methods and procedures.

• Demonstrated record in collaborative software development, especially in distributed teams.

For full consideration, please apply by July 20, 2023. This position will remain open until filled.

Want to learn more about Berkeley Lab's Culture, Benefits and answers to FAQs? Please visit: https://recruiting.lbl.gov/

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. You must have less than 3 years of paid postdoctoral experience. Salary for Postdoctoral positions depends on years of experience post-degree.

• This position is represented by a union for collective bargaining purposes.

• The monthly salary range for this position is $6,936.00 - $7,747.00 and is expected to start at $6,936.00 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.

• This position is eligible for a hybrid work schedule - a combination of teleworking and performing work on site at Lawrence Berkeley National Lab, 1 Cyclotron Road, Berkeley, CA. Work schedules are dependent on business needs. Individuals working a hybrid schedule must reside within 150 miles of Berkeley Lab.

Learn About Us:

The core values of the ALS reflect a strong commitment to diversity, equity, and inclusion. We seek candidates who will support a culture in which each member of the community feels welcomed and valued. An ongoing commitment to recruiting and retaining a vibrant, diverse, and talented workforce is paramount to promoting a strong and successful lab community. For more information refer to the LBNL core values and the ALS mission statement and core values.

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. 

Equal Opportunity and IDEA Information Links:

Know your rights, click here for the supplement: "Equal Employment Opportunity is the Law" and the Pay Transparency Nondiscrimination Provision under 41 CFR 60-1.4.