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Res Associate Computational Science

Job ID 1542 Date posted 11/21/2018


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.




Brookhaven National Laboratory (BNL) is the scientific, extreme scale Data Laboratory in the US with over 145 PB of data archived and 690 PB of data analyzed in FY 2018.  This data comes largely from the many scientific user facilities that are operated and supported by BNL such as: the unique nuclear physics experiment RHIC, the brightest synchrotron in the world NSLS II, the largest Tier 1 center for the LHC Atlas experiment, the Japanese particle physics experiment Belle II, the Center for Functional Nanomaterials and the Atmospheric Radiation Measurement program.  As a result, we have a lively, fast growing data science research program at BNL, with a specific focus on the challenges presented by the analysis, interpretation and use of data at extreme scales and in real time. The data science program is accompanied by significant computational modeling research effort, in support of the design, planning, analysis and interpretation of experiments and their results. The Computational Science Initiative (CSI - https://www.bnl.gov/compsci) provides the laboratory-wide umbrella for these activities, bringing together computer scientists, applied mathematicians and domain scientists to carry out leading edge research, convert research results into practical solutions that advance domain science, accelerate scientific discovery and provide the necessary computing infrastructure services and training to support efficient operation.  A particular focus of CSI's work is the research, development and deployment of novel methods and algorithms for the analysis and interpretation of high volume, high velocity, heterogeneous scientific data created by experimental, observational and computational facilities.

Brookhaven National Laboratory was recently awarded a grant entitled Dynamics and Control of Magnetic and Charge Order in Complex Oxides -- one of 10 nationwide programs for advancing x-ray free electron laser studies aiming to advance our understanding of chemical and materials science. The collaboration involves 8 PIs and 5 research associates working together to deliver detailed pictures of ultra-fast spin and charge behavior in complex oxide materials and how this organizes into domains once it couples to the lattice. This multi-degree of freedom, multi-length-scale understanding of canonical strongly correlated oxides is a vital step towards “properties on demand” via strategic ultra-fast excitation of quantum materials.



The successful candidate with work with Pavol Juhas in CSI alongside Ian Robinson and Mark Dean in the X-Ray Scattering Group and experts in molecular beam epitaxy, complex data analysis, ultra-fast electron diffraction and theory. While based in CSI, the successful candidate will work closely with the Condensed Matter Physics and Materials Science Department, which has a very strong tradition of research into strongly correlated materials using several experiment techniques including x-ray scattering, neutron scattering and photoelectron spectroscopy, etc. This is complemented by excellent sample synthesis capabilities and strong theoretical support. The X-ray Scattering Group specializes in Resonant Inelastic X-ray Scattering (RIXS), Bragg Coherent Diffraction Imaging (BCDI) and X-ray Total Scattering for Pair Distribution Function (PDF) and benefits from close collaboration with beam-lines at the National Synchrotron Light Source II.



Essential Duties and Responsibilities:      

The successful candidate will develop computational tools for Bragg Coherent Diffractive Imaging (BCDI) techniques used to probe charge and magnetic ordering in quantum materials in the ultrafast time domain.  This involves strong understanding of applied mathematics in particular discrete Fourier Transformation.  The candidate is expected to obtain an in-depth knowledge of BCDI theory and of associated data analysis protocols.  Among the project challenges is to devise image-extraction algorithms that handle samples with non-diffracting support regions and also to utilize machine learning for a faster inversion of raw scattering data.  The new computational tools will facilitate offline as well as live data analysis, and thus will need to handle high-data throughputs that are generated by state-of-the-art x-ray free electron laser (FEL) experiments.  The candidate will participate in data analysis of the FEL measurements and in disseminating the conclusions in scientific publications and talks[1] . 

Required Knowledge, Skills and Abilities:

A PhD in one of the following: computer science, applied mathematics, materials science, experimental condensed matter physics or a related field within 5 years of the application date.

Strong data analysis skills. Knowledge of programing languages such as Python, MATLAB, R, C.

Self-motivated and able to work both independently and as part of a team.

BNL policy requires that research associate appointments be made to individuals who have received their doctorate within the past five years.

Preferred Knowledge, Skills, and Abilities:

Experience with signal processing, phase retrieval, computational image processing.  Knowledge of scientific data mining, genetic algorithms, machine learning or artificial intelligence.  Experience in scattering techniques such as x-ray scattering, neutron scattering, photoelectron spectroscopy.


ADDITIONAL INFORMATION

While principally based at Brookhaven National Laboratory, candidates should be willing to travel to carry out experiments at various national facilities.       

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

•              Vacation

•              Holidays

•              Dental Plans

•              Life Insurance

•              401(k) Plan

•              Retirement Plan

•              Gymnasium, 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, apply online at www.bnl.gov and click Jobs, then sort by job ID and apply to job #                            .

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, national origin, age, disability, or protected veteran status. 

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 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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