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 forsynchrotron applications, notably forapplications 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,equitableand competitive compensation. The full salary range for this position is $154,250.00 - $235,000.00 / year. Salary offers will becommensuratewith the final candidates qualification, education and experience and considered with the internal peer group.

Brookhaven National Laboratory is committed to employee success and we believe that a comprehensive employee benefits program is an important and meaningful part of the compensation employees receive. Review more information at