Job ID; 2519
Date posted; 05/24/2021
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.
Brookhaven National Laboratory is entering an exciting new chapter with one of the newest and most advanced synchrotron facilities in the world. National Synchrotron Light Source II (NSLS-II) enables the study of material properties and functions with nanoscale resolution and exquisite sensitivity by providing world-leading capabilities for X-ray imaging and high-resolution energy analysis.
This facility is open to users from academia and industry and its operations are at a time when the world enters a new era with a global economy fueled largely by scientific discoveries and technological innovations. NSLS-II provides the research tools needed to foster new discoveries and create breakthroughs in critical areas such as energy security, environment, and human health.
The NSLS-II Accelerator Coordination Group (ACG) is the interface between Operations group, each of the subsystems, and all of NSLS-II’s beamlines to ensure that the accelerator provides peak reliability and quality. ACG manages beam studies, fault analysis, repair prioritization, beam stability analysis, and overall accelerator performance.
The Postdoctoral Researcher will report to ACG Maintenance Coordinator, and have close contact with the entire ACG. The candidate will work to develop advanced Machine Learning methods by assembling datasets from machine archives, to develop and tune algorithms, and training algorithms with datasets. Once tools are established, the candidate will work with accelerator Operations to create live, operator-facing applications for daily use. The research work is supported by a recently funded DOE/BES Machine Learning R&D project, and is part of a collaboration with Machine Learning researchers at SLAC and Argonne National Laboratories.
Essential Duties and Responsibilities:
- Write scripts to automate data collection and cleaning
- Communicate with collaborators, accelerator-subsystem experts
- Tune and optimize Machine Learning algorithms
- Learn and create accelerator operations controls/readbacks
Required Knowledge, Skills, and Abilities:
- PhD in physics, physical sciences, computer science or applied mathematics
- Programming experience
- Proficiency in languages: Python, Matlab
Preferred Knowledge, Skills, and Abilities:
- Machine learning
- Accelerator operation
- Comfort with complex algorithms and large datasets
- BNL policy requires that research associate appointments be made to individuals who have received their doctorate within the past five years.
At Brookhaven National Laboratory we believe that a comprehensive employee benefits program is an important and meaningful part of the compensation employees receive. Our benefits program includes, but is not limited to:
- Medical, Dental, and Vision Care Plans
- Flexible Spending Accounts
- Paid Time-off and Leave Programs (vacation, holidays, sick leave, paid parental leave)
- 401(k) Plan
- Flexible Work Arrangements
- Tuition Assistance, Training and Professional Development Programs
- Employee Fitness/Wellness & Recreation: Gym/Basketball Courts, Weight Room, Fitness Classes, Indoor Pool, Tennis Courts, Sports Clubs/Activities (Basketball, Ping Pong, Softball, Tennis)
Brookhaven National Laboratory and the Energy and Photon Sciences Directorate are committed to your success. We offer a supportive work environment and the resources necessary for you to succeed.
Brookhaven National Laboratory (BNL) is an equal opportunity employer that values inclusion and diversity at our Lab.We are committed to ensuring that all qualified applicants receive consideration for employment and will not be discriminated against on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, status as a veteran, disability or any other federal, state or local protected class.
BNL takes affirmative action in support of its policy and to advance in employment individuals who are minorities, women, protected veterans, and individuals with disabilities.We ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment.Please contact us to request accommodation.
To apply for this job please visit jobs.bnl.gov.