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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Skills Required
- PhD in Physics, Biology, Computer Science, Science, or a similar field
- At least 10 years of experience in synchrotron light source science
- Curiosity and strong communication skills
- Ability to work effectively in large multidisciplinary teams
- Demonstrated deployment of machine-learning or deep-learning developments, ideally for synchrotron data analysis or similar applications
- Strong programming skills in Python
- GPU programming experience with CUDA or OpenCL
- Experience with collaborative open-source projects for science or engineering
What We Do
Brookhaven National Laboratory (BNL) is a U.S. Department of Energy national laboratory conducting fundamental and applied research in nuclear and particle physics, photon sciences, energy security, quantum and information science, and artificial intelligence. BNL operates large user facilities and partners with academia and industry to translate scientific discoveries into technologies and programs supporting energy, national security, and public-benefit applications.
