Berkeley Lab's Materials Sciences Division has an opening for an Electron Microscopy EELS Postdoc.
The National Center for Electron Microscopy (NCEM) facility in the Molecular Foundry is one of the world's foremost user facilities for electron beam nanocharacterization, providing state-of-the-art electron microscopes and expertise in high-resolution imaging, spectroscopy, and analysis. The postdoctoral fellow associated with this position will participate in the development and application of new analysis methods for the analysis and noise reduction of Electron Energy Loss Spectroscopic data based on machine learning and artificial intelligence (ML/AI) approaches. You will be part of a team-centered around the multi-PI, multi-institution 4DCamera Distillery project led by the Molecular Foundry to develop and deploy AI/ML tools to rapidly distill information from the data streams of fast electron detectors for a variety of imaging, diffraction, spectroscopic, and instrument automation applications. You will also utilize the leading-edge transmission electron microscopy (TEM) capabilities of our facility, including aberration correction and advanced pixelated direct electron detectors utilized for EELS data generation. Key to the success of this project will also be the development of robust analysis codes to quantitatively interpret very large datasets and compare against first-principles simulations, such as those within the Materials Project database. This is a 2-year appointment with the possibility of renewal.
What You Will Do:
Perform world-class research by developing EELS analysis methods to understand the structure-property relationships of energy-relevant materials by extracting local composition and bonding information from large-scale, noisy datasets.
Develop new and innovative analysis methods that apply ML/AI tools for interpretation of fine structure in EELS data.
Develop new and innovative analysis methods that apply ML/AI tools for noise reduction of both individual EELS spectra and multidimensional spectral maps.
Develop methods for matching EELS data against pre-simulated first principles libraries to determine oxidation state, bond hybridization, and composition of materials.
Provide feedback to optimize EELS experimental parameters for maximal information retrieval
Collection of experimental EELS data using the suite of FEI Titan-class TEMs available at the NCEM facility
Additional Responsibilities as needed:
Coordination with the Materials Project at LBNL to aid the specification and development of efficient algorithms for matching experimental EELS data to pre-simulated databases.
Incorporation of analysis codes into the software stack for future fast EELS detectors, operating up to MHz speeds.
What is Required:
Ph.D. or equivalent degree in Materials Science, Physics, or related Physical Sciences or Engineering discipline
Excellent scientific publications record in relevant areas
Experience in the application of machine learning and/or artificial intelligence methods for the analysis of imaging or spectroscopic data.
Well-developed oral and written communication skills. Ability to work effectively within a team and with various levels of internal and external users and staff.
Strong organizational and time management skills. Ability to manage competing priorities, provide quality work within tight time constraints, and deliver projects on schedule.
Experience with computational materials modeling such as density functional theory, molecular dynamics, etc.
Experience in the management and manipulation of large, multidimensional data sets commensurate with electron microscopy and spectroscopy
Experience in the operation of aberration-corrected transmission electron microscopes, particularly in STEM mode
Ability to prepare high-quality samples for transmission electron microscopy experiments
This position will remain open until filled.
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.
Salary will be predetermined based on postdoctoral step rates.
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.
Diversity, equity, and inclusion are core values at Berkeley Lab. Our excellence can only be fully realized by faculty, students, and staff who share our commitment to these values. Successful candidates for our faculty positions will demonstrate evidence of a commitment to advancing equity and inclusion.
Work will be primarily performed at Lawrence Berkeley National Lab, 1 Cyclotron Road, Berkeley, CA.
Berkeley Lab is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status. Berkeley Lab is in compliance with the Pay Transparency Nondiscrimination Provision under 41 CFR 60-1.4. Click here to view the poster and supplement: "Equal Employment Opportunity is the Law."
Lawrence Berkeley National Laboratory encourages applications from women, minorities, veterans, and other underrepresented groups presently considering scientific research careers.
Internal Number: 92231
About Lawrence Berkeley National Laboratory
In the world of science, Lawrence Berkeley National Laboratory (Berkeley Lab) is synonymous with excellence. Thirteen scientists associated with Berkeley Lab have won the Nobel Prize. Fifty-seven Lab scientists are members of the National Academy of Sciences (NAS), one of the highest honors for a scientist in the United States. Thirteen of our scientists have won the National Medal of Science, our nation's highest award for lifetime achievement in fields of scientific research. Eighteen of our engineers have been elected to the National Academy of Engineering, and three of our scientists have been elected into the Institute of Medicine. In addition, Berkeley Lab has trained thousands of university science and engineering students who are advancing technological innovations across the nation and around the world. Berkeley Lab is a member of the national laboratory system supported by the U.S. Department of Energy through its Office of Science. It is managed by the University of California (UC) and is charged with conducting unclassified research across a wide range of scientific disciplines. Located on a 200-acre site in the hills above the UC Berkeley campus that offers spectacular... views of the San Francisco Bay, Berkeley Lab employs approximately 4,200 scientists, engineers, support staff and students. Its budget for 2011 is $735 million, with an additional $101 million in funding from the American Recovery and Reinvestment Act, for a total of $836 million. A recent study estimates the Laboratory's overall economic impact through direct, indirect and induced spending on the nine counties that make up the San Francisco Bay Area to be nearly $700 million annually. The Lab was also responsible for creating 5,600 jobs locally and 12,000 nationally. The overall economic impact on the national economy is estimated at $1.6 billion a year. Technologies developed at Berkeley Lab have generated billions of dollars in revenues, and thousands of jobs. Savings as a result of Berkeley Lab developments in lighting and windows, and other energy-efficient technologies, have also been in the billions of dollars. Berkeley Lab was founded in 1931 by Ernest Orlando Lawrence, a UC Berkeley physicist who won the 1939 Nobel Prize in physics for his invention of the cyclotron, a circular particle accelerator that opened the door to high-energy physics. It was Lawrence's belief that scientific research is best done through teams of individuals with different fields of expertise, working together. His teamwork concept is a Berkeley Lab legacy that continues today.