Computational and Experimental Materials Data Systems Research Associate Postdoctoral

Website NSLS-II at Brookhaven National Laboratory

Job ID 1199 Date posted 01/17/2018

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.

Organizational Overview

Building on its capabilities in computational science and data management, the Computational Science Initiative (CSI) at the U.S. Department of Energy’s (DOE) Brookhaven National Laboratory was established to integrate and leverage computer science, computational science and applied mathematics expertise and investments across multiple programs at the Laboratory. In providing leading computational and data science solutions for BNL’s flagship facilities – RHIC, LHC Atlas US Tier One Center, NSLS II, CFN —CSI is confirming Brookhaven as a leader in tackling the “big data” challenges at the frontiers of scientific discovery. CSI’s mission is to provide “Leadership in the hypothesis driven analysis and interpretation of large volumes, high velocity, heterogeneous data’. We are pursuing this mission by engaging in research into novel approaches and methods, the provision of data management and analysis facilities, and the practical application of these resources to domain science challenges.

Position Description

New generation detectors such as those becoming available at the National Synchrotron Light Source at BNL (NSLS-II) produce massive amounts of data that require novel infrastructure and advanced computing discovery and analysis techniques to address the challenges of designing and validating new material structures.   Discovery and analysis are enabled at scale through the use of rich provenance metadata that characterize samples, computational structures, properties, and transformations performed on raw and derived data.  We are building a provenance driven data system that collects these data and metadata from sources at BNL and elsewhere, augments metadata with keywords from the literature through applying known Machine Learning techniques, and enables querying.

A post-doctoral position is available for 2 years in the Computational Science Initiative (CSI) at Brookhaven National Laboratory.  The successful candidate will conduct research in developing and applying provenance techniques to materials and crystallography databases for the purpose of building a computational and experimental materials data system in coordination with the existing NSLS-II integrated data acquisition and analysis system.

Essential Duties

  1. Develop techniques for capturing and disseminating provenance metadata from heterogeneous sources including sources internal and external to BNL
  2. Apply existing Natural Language Processing algorithms to the problem at hand
  3. Research novel approaches for high volume provenance capture
  4. Collaborate on proposals, grants, and publications in the area of materials data systems

Position Requirements

Required Knowledge, Skills and Abilities

  • PhD in a relevant scientific discipline
  • Programming in one of the following languages: Python, C, C++.

Preferred Knowledge, Skills, and Abilities

  • Working knowledge and experience of materials data systems.
  • Working knowledge and experience with NPL Toolkit, Word2vec, and other NLP techniques
  • Track record of producing high quality software on schedule
  • Proven ability to disseminate research results by writing manuscripts and giving scientific presentations
  • Experience working in multi-disciplinary scientific collaborations
  • Experience in developing scientific codes written in Python

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

Other Information

At Brookhaven National Laboratory we believe that a comprehensive employee benefits program is an important and meaningful part of the compensation employees receive.

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.

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