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Postdoctoral in High Performance Computing

Brookhaven National Laboratory (BNL) is a multipurpose research institution funded primarily by the U.S. Department of Energy (DOE)’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
The mission of the Computational Science Initiative (CSI - https://www.bnl.gov/compsci/) is to provide the laboratory a wide umbrella for research and development activities that address the computational needs of research programs both inside and outside of BNL, 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 and provide the necessary computing infrastructure services and training to support efficient operation.
Position Description
The Computational Science Lab’s High Performance Computing group at CSI has an immediate opening for a Postdoctoral Research Associate to develop and evaluate software solutions that can make efficient use of large-scale and novel high performance computing systems, including the upcoming exascale computers.
The position is initially for two years, with the possibility of renewal for a third year subject to satisfactory performance and funding availability. Applications will be reviewed until the position is filled. 
The successful candidate is expected to develop and integrate novel computational techniques, including software and numerical methods, that meet the needs of DOE applications, which may include nuclear and high energy physics, chemistry, biology and others.
 Applications will be reviewed until the position is filled. 
Essential Duties and Responsibilities:
  • Work in a collaborative team with computer scientists, computational scientists, applied mathematicians, and domain scientists
  • Develop quality software for heterogeneous (with compute accelerators such as GPUs, FPGAs etc.) and many-core architectures
  • Test and document the software to ensure correctness and efficiency
  • Present results at meetings, workshops and conferences
  • Publish findings at conference proceedings and/or academic journals

Position Requirements
Required Knowledge, Skills, and Abilities:
  • PhD in Computational Physics/Chemistry, Computer Science/Engineering, or a related field.
  • Demonstrated programming skills in C/C++, Python, Fortran or other well-known programming languages.
  • Knowledge of at least one parallel programming models: MPI, OpenMP/OpenACC, CUDA, Kokkos, SyCL/OpenCL, or others.
  • Familiarity with software engineering practices including testing, documentation, source code management and release procedures
  • Good communication skills.
Preferred Knowledge, Skills, and Abilities:
  • Knowledge of experimental high energy physics computational requirements and workflows
  • Experience with one or more of the following: software performance evaluation and optimization; machine learning and data analytics; parallel processing and/or real time programming; GPU programming and languages such as CUDA; HPC computing
  • Experience working on collaborative software projects
  • Experience with performance portable programming models, such as Kokkos, RAJA, or SyCL.

OTHER INFORMATION: (add if applicable)
  • Moderate domestic and international travels are expected
 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
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. 

*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 486.1A. 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: https://www.directives.doe.gov/directives-documents/400-series/0486.1-BOrder-a/@@images/file