AI Computational Scientist
Brookhaven Lab
AI Computational Scientist
Brookhaven Lab
National lab for basic, applied sciences
The NSLS-II beamlines provide world-class facilities for research. The increased brilliance of the source, along with automation for data analysis has led to a significant increase in the acquisition speed and the amount of data which must be processed and analyzed by NSLS-II users. It is therefore essential to provide advanced tools making use of artificial intelligence and machine learning for data acquisition and data analysis and to work with the diverse user community of the NSLS-II in developing these tools.
NSLS-II has initiated AI pilot programs to further the development of these techniques. We are looking to recruit a scientist to work on Ai and machine learning developments for synchrotron applications, notably for applications where data analysis and management coupled with automated data collection would provide a large benefit to the experimental process.
The work will take place the Data Science and Systems Integration (DSSI) in close collaboration with beamlines beamline groups.
Essential Duties and Responsibilities:
Development of innovative machine-learning based algorithms for data acquisition and online data processing.
Organize data, meta-data standards, provide mechanisms for distributing data and analysis tools for integration of NSLS-II results in a broader context.
Conduct original research project exploiting machine learning for synchrotron applications with NSLS-II science programs.
Work with scientists and engineers at NSLS-II, user groups and research sponsors to disseminate knowledge about the use of artificial intelligence and machine learning for light source science applications.
Required Knowledge, Skills, and Abilities:
PhD degree in Physics, Biology, Computer Science, Science or similar area
At least 10 years of experience in synchrotron light source science.
Curiosity, good communication skills and ability to work in large multi-disciplinary teams.
Preferred Knowledge, Skills, and Abilities:
Demonstration of the deployment machine (deep) learning developments ideally for synchrotron data analysis or similar
Strong programming skills in Python GPU programming (CUDA, OpenCL) is a plus.
Experience in working with collaborative open-source projects for science and/or engineering.
Brookhaven National Laboratory is committed to providing fair, equitable and competitive compensation. The full salary range for this position is $154,250.00 - $235,000.00 / year. Salary offers will be commensurate with the final candidate’s qualification, education and experience and considered with the internal peer group.
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Brookhaven National Laboratory (www.bnl.gov) delivers discovery science and transformative technology to power and secure the nation’s future. Brookhaven Lab is a multidisciplinary laboratory with seven Nobel Prize-winning discoveries, 37 R&D 100 Awards, and more than 70 years of pioneering research. The Lab is primarily supported by the U.S. Department of Energy’s (DOE) Office of Science. Brookhaven Science Associates (BSA) operates and manages the Laboratory for DOE. BSA is a partnership between Battelle and The Research Foundation for the State University of New York on behalf of Stony Brook University. BSA salutes our veterans and active military members with careers that leverage the skills and unique experience they gained while serving our country, learn more at BNL | Opportunities for Veterans at Brookhaven National Laboratory.
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National lab for basic, applied sciences
Brookhaven National Laboratory is a multi-purpose research institution focused on basic and applied science. It conducts research in physical, biomedical, and environmental sciences, energy technologies, and national security, and it builds and operates major scientific facilities that university, industry, and government researchers can use. Its operations are managed for the U.S. Department of Energy’s Office of Science by Brookhaven Science Associates, a partnership between the Research Foundation of the State University of New York (on behalf of Stony Brook University) and Battelle. Unlike purely academic labs, Brookhaven provides access to large, shared facilities and supports collaboration across academia, industry, and government. Its goal is to advance fundamental knowledge and develop practical technologies by running and maintaining facilities, conducting experiments, and enabling external researchers to perform cutting-edge work.
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