Post Doc in Nuclear Data

  • Brookhaven National Laboratory
  • Upton, NY, USA
  • Oct 15, 2020
Full time

Job Description

Job ID 2331Date posted 09/18/2020

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
Brookhaven National Laboratory’s Department of Nuclear Science and Technology conducts research and development related to nuclear technologies (reactors and accelerator-driven systems), reliability and risk assessment, and advanced modeling techniques for reactor simulation and energy systems.

The Department serves as a resource in these and related areas to support the missions of the Department of Energy (DOE), the Nuclear Regulatory Commission (NRC), and other national and international organizations. With a world-class staff of professionals with expertise in a broad range of areas related to the design and analyses of commercial, research and advanced nuclear systems, Brookhaven’s capabilities and facilities are also available to support and execute experiments in support of these missions.

The National Nuclear Data Center (NNDC), a part of of BNL’s Nuclear Science and Technology Department, is the largest member of the US Nuclear Data Program (USNDP), whose mission is to provide current, accurate, authoritative data for workers in pure and applied areas of nuclear science and engineering. This is accomplished primarily through the compilation, evaluation, dissemination, and archiving of extensive nuclear datasets. USNDP also addresses gaps in the data, through targeted experimental studies and the use of theoretical models.
The NNDC is responsible for the Nuclear Science Reference (NSR), eXperimental Unevaluated Nuclear Data List (XUNDL), Evaluated Nuclear Structure Data File (ENSDF) and Evaluated Nuclear Data File (ENDF) libraries, as well as the Nuclear Data Sheets journal.   The NNDC is also the main contributor to the EXFOR library.  Web dissemination of these libraries is also one of the main activities at the NNDC.

In addition to the libraries and web efforts, the NNDC staff are involved in research relating to nuclear structure, nuclear reactions, nuclear astrophysics and nuclear reactor antineutrinos.

Position Description

Position Description

The National Nuclear Data Center has an opening for a post-doctoral position in nuclear structure evaluations and research.   Applicants will be expected to work on the Evaluated Nuclear Structure Data File (ENSDF), including the development of new format and ancillary codes, implementation of machine learning techniques, as well as experimental or theoretical research aligned with ENSDF priorities.  This position has a high level of interaction with an international and multicultural scientific community.

Essential Duties and Responsibilities

  • Assist in the design and implementation of a new database structure for ENSDF
  • Redesign ENSDF codes to be compatible with the new ENSDF format 
  • Collaborate with the Computational Science Initiative Department to develop Machine Learning tools which can be applied to the new ENSDF format
  • Analyze gamma-ray spectroscopy experiments and/or provide theoretical calculations to support the low-energy nuclear structure experiments 
  • Prepare and deliver oral presentations, as well as write articles in scientific journals

Position Requirements

Required Knowledge, Skills, and Abilities:

  • PhD in experimental or theoretical low-energy nuclear physics
  • Demonstrated experience in at least one of the following areas (a) low-energy nuclear spectroscopy, (b) theoretical nuclear structure models
  • Programming and computing skills such as knowledge of C++, JAVA or Python languages
  • Clear and concise oral and written communication skills.  
  • Attention to detail

Preferred Knowledge, Skills, and Abilities:

  • Familiarity with the ENSDF databases
  • Experience with Machine Learning algorithms applicable to physical sciences


  • The incumbent must be available to start by January 2, 2021
  • The position is for a 2-year term
  • 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 benefitsBrookhaven 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.

*VEVRAA Federal Contractor

Brookhaven employees are subject to restrictions related to participation in Foreign Government Talent Recruitment Programs, as defined and detailed in United States Department of Energy Order 486.1. You will be asked to disclose any such participation at the time of hire for review by Brookhaven. The full text of the Order may be found at: