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Postdoctoral Research Associate Physics Control Systems

Job ID 1581 Date posted 01/02/2019


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.



The mission of the Collider-Accelerator Department (C-AD) is to develop, improve and operate the suite of particle / heavy ion accelerators used to carry out the program of accelerator-based experiments at Brookhaven National Laboratory (BNL); to support the experimental program including design, construction and operation of the beam transports to the experiments, plus support of detector and research needs of the experiments; to design and construct new accelerator facilities in support of the BNL and national missions. The C-A Department supports an international user community of over 1,500 scientists. The department performs all these functions in an environmentally-responsible and safe manner, under a rigorous conduct of operations approach.



The Accelerator Division Control Systems section has an opening for a Postdoctoral Research Associate to develop new techniques and tools for the analysis of accelerator data using a data science approach (i.e. regression analysis, classification of data, Bayesian statistics, Markov process, and other methods for improving data filtering and analysis). Using newly developed tools for analysis of accelerator data, our aim is to gain greater quantitative understanding on how the distributed controls for large accelerator systems operate and perform. This position is for a 2-year research project.

Essential Duties and Responsibilities:
  • Work with the control systems of the Relativistic Heavy Ion Collider (RHIC) to develop tools and techniques to process and analyze a large repository of accelerator data
  • In collaboration with team members, assume a lead role in:
    • Understanding and improving how data is structured and managed
    • Code development, documentation and proper code management
    • Automating and integrating processes into online systems
  • Assist in publishing results of the research and teaching members of the Accelerator Division Control Systems team and C-AD (Collider Accelerator Department) in the use of these new tools and techniques.



Required Knowledge, Skills, and Abilities:
  • Ph.D. in Electrical Engineering, Computer Science, Physics, or related area.
  • Experience with software development in a research environment
  • Knowledge & experience in statistical data analysis
  • Knowledge & experience with basic Data Science techniques and practices
  • Knowledge of network communications techniques and protocols
  • Knowledge of control system theory and practices
  • Experience using Python, C++, or Java
  • Demonstrated interpersonal skills, including a record of working successfully with a diverse team of scientists and engineers
  • Good communication (verbal, written and presentation) skills
  • Research experience demonstrated through publications and/or presentations
Preferred Knowledge, Skills, and Abilities:
  • Experience working in a physics/particle accelerator research environment
  • Knowledge of the EPICS control system software
  • Knowledge of accelerator instrumentation systems
  • Minimum of 5 years’ experience programming in some combination of C and C++, Java, and/or Python
  • Experience working in UNIX/Linux environments
  • Experience in high performance computing, optimizing code for performance, and writing code that is re-entrant and thread-safe
  • Demonstrated ability to collect software requirements and design robust, high performance software with appropriate consideration of anticipated failure situations and future growth

OTHER INFORMATION:
  • 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 Plans
  • Dental Plans
  • Vacation
  • Holidays
  • Life Insurance
  • 401(k) Plan
  • Paid Parental Leave
  • Swimming Pool, Weight Room, Tennis Courts, and many other employee perks and benefits


We invite you to consider Brookhaven National Laboratory for employment. To be considered for this position, please apply online at BNL Careers and enter the job title into the Keyword Search.

Brookhaven National Laboratory (BNL) is an equal opportunity employer 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.

*VEVRAA Federal Contractor

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