Research Support - Laboratory/Non-Laboratory, Staff/Administrative
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The National Synchrotron Light Source II (NSLS-II) at Brookhaven National Laboratory, a multipurpose research institution funded primarily by the U.S. Department of Energy's Office of Science, seeks a qualified and motivated Post-Doctoral Research Associate. The selected candidate will join the research effort on advancing 3D x-ray imaging methods tailor to solving scientific challenges for microelectronics research. The selected candidate will work with a team of scientists within the Imaging and Microscopy Program, utilizing the world-leading hard x-ray imaging capabilities of the Full-field X-ray Imaging Beamline (FXI) and the Hard X-ray Nanoprobe Beamline (HXN).
The selected candidate will perform scientific research on micro-structure characterizations of integrated circuits, next-generation memory devices, and other novel microelectronics, with advanced X-ray imaging methods. The candidate will be responsible for optimizing workflow from data acquisition to structure quantification. The research will include model simulations and algorithm developments to optimize structure reconstruction strategies that balance the imaging throughput with the target imaging sensitivities and resolutions on a variety of imaging modalities (full-field vs. scanning) and contrast mechanisms (absorption, phase, and fluorescence). Particular emphasis is on achieving efficient 3D imaging by exploring data sparsity and exploiting prior knowledge of the sample. The candidate is expected to collaborate with beamline scientists, the NSLS-II DAMA (Data Acquisition Management and Analysis) Group and external collaborators.
Essential Duties and Responsibilities:
Work together with the members of the FXI and HXN beamline scientists to develop advanced 3D imaging methods for microelectronics research.
Optimize the experimental strategy, perform 3D nanoscale measurements and develop the workflow for data analysis.
Summarize results and write scientific papers to be published in peer-review journals.
Required Knowledge, Skills, and Abilities:
Ph.D. in computer science, physics, material science, or related discipline
Demonstrated expertise in 3D tomography and quantitative image data analysis
Demonstrated experience in computational programming
Excellent publication record in peer-reviewed journals
Excellent oral and written communication skills
Ability to work both independently and as part of a team
Preferred Knowledge, Skills, and Abilities:
(Demonstrated experience in one or more of the following):
Incorporating machine-learning algorithms in data analysis.
Full-field or scanning microscopy.
Knowledge of image processing methods.
Knowledge of x-ray imaging contrast mechanisms.
BNL policy requires that research associate appointments be made to individuals who have received their doctorate within the past five years.
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*VEVRAA Federal Contractor
Internal Number: 2534
About Brookhaven National Laboratory
Brookhaven National Laboratory is a multipurpose research institution funded primarily by the U.S. Department of Energy’s Office of Science. Located on the center of Long Island, New York, Brookhaven Lab brings world-class facilities and expertise to the most exciting and important questions in basic and applied science—from the birth of our universe to the sustainable energy technology of tomorrow. We operate cutting-edge large-scale facilities for studies in physics, chemistry, biology, medicine, applied science, and a wide range of advanced technologies. The Laboratory's almost 3,000 scientists, engineers, and support staff are joined each year by more than 4,000 visiting researchers from around the world. Our award-winning history, including seven Nobel Prizes, stretches back to 1947, and we continue to unravel mysteries from the nanoscale to the cosmic scale, and everything in between. Brookhaven is operated and managed by Brookhaven Science Associates, which was founded by the Research Foundation for the State University of New York on behalf of Stony Brook University, and Battelle, a nonprofit applied science and technology organization.