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Brookhaven National Laboratory
Upton, New York, United States
10 hours ago

Description

Brookhaven National Laboratory (www.bnl.gov) delivers discovery science and transformative technology to power and secure the nation’s future. Brookhaven Lab is a multidisciplinary laboratory with seven Nobel Prize-winning discoveries, 37 R&D 100 Awards, and more than 70 years of pioneering research. The Lab is primarily supported by the U.S. Department of Energy’s (DOE) Office of Science. Brookhaven Science Associates (BSA) operates and manages the Laboratory for DOE. BSA is a partnership between Battelle and The Research Foundation for the State University of New York on behalf of Stony Brook University.

Organizational Overview
Brookhaven National Laboratory (BNL) is a scientific, extreme scale Data Laboratory in the U.S., New York State, Long Island. 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 both laboratory and computer simulation experiments and their results. The Computational Science Initiative (CSI - https://www.bnl.gov/compsci/) provides a 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, and provide the necessary computing infrastructure services and training to support efficient operation. The position will reside within CSI’s Applied Mathematics group.

Position Description

The Applied Mathematics Group of the Computational Science Initiative (CSI) at Brookhaven National Laboratory (BNL) invites exceptional candidates to apply for the Amalie Emmy Noether Fellowship in applied mathematics and scientific computing. This fellowship offers a unique opportunity to conduct research in a broad set of fields, including Bayesian uncertainty quantification and scalable computational statistics, optimization and control for decision making under uncertainty, surrogate or reduced order modeling, high-dimensional inverse problems, scientific machine learning and Bayesian deep learning, data science for streaming or “in-situ” (within simulation) parallel/distributed analytics for high performance computing (HPC), integrated computational modeling frameworks, numerical methods, and multiscale modeling.

The methods and fundamental advances made in the course of this research will further the progress of applications of interest to BNL and the Department of Energy (DOE). Examples of such applications might include: computer model uncertainty quantification and hybrid process-based/data-driven modeling for climate prediction and resilience planning; optimal experimental and simulation design for drug discovery and materials design using large-scale computational workflows; observing system or sensor network design for meteorology; system identification and control for quantum computing; and large-scale data processing for particle accelerator experiments.

The fellowship includes access to world-class HPC resources, such as the BNL Institutional Cluster and DOE leadership computing facilities. Access to these platforms will allow computing at scale and will ensure that the successful candidate will have the necessary resources to solve challenging DOE problems of interest.

This program provides full support for a period of two years at CSI. This fellowship presents a unique chance to conduct interdisciplinary collaborative research in BNL programs with a highly competitive salary. Recipients will be allowed to select a direct mentor from a list of CSI staff scientists. This mentor will help the recipient define and pursue their own research agenda during their appointment.

Essential Duties and Responsibilities:

  • Conduct research in applied mathematics
  • Work in interdisciplinary collaborations with other mathematicians and applied domain scientists
  • Formulate an independent, high-quality research program in collaboration with lab mentors


Requirements

Position Requirements

Required Knowledge, Skills, and Abilities:

  • Ph.D. in applied mathematics or a related field (e.g., statistics, mathematics, computer science, physics, engineering, operations research)*
  • Programming experience in scientific computing

Preferred Knowledge, Skills, and Abilities:

  • Knowledge in one or more of the following:
    • Bayesian inference, uncertainty quantification, spatiotemporal statistics, or computational statistics
    • Scientific machine learning
    • Decision making under uncertainty or optimal design of experiments
    • High performance computing
    • Modeling and simulation
  • Experience solving applied domain sciences problems (e.g., in physical sciences, life sciences, or engineering)
  • Experience working in interdisciplinary collaborations

Other Information:

  • *BNL policy requires that after obtaining their PhD, eligible candidates for research associate appointments may not exceed a combined total of 5 years of relevant work experience as a post-doc and/or in an R&D position, excluding time associated with family planning, military service, illness, or other life-changing events
  • The initial two-year term appointment is subject to renewal contingent on performance and funding
  • May require international and domestic travel

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, Dental, and Vision Care Plans
  • Flexible Spending Accounts
  • Paid Time-off and Leave Programs (vacation, holidays, sick leave, paid parental leave)
  • 401(k) Plan
  • Flexible Work Arrangements
  • Tuition Assistance, Training and Professional Development Programs
  • Employee Fitness/Wellness & Recreation:  Gym/Basketball Courts, Weight Room, Fitness Classes, Indoor Pool, Tennis Courts, Sports Clubs/Activities (Basketball, Tennis, Softball, Table Tennis)
Brookhaven Science Associates requires proof of a COVID-19 vaccination for all employees. Proof of full vaccination as recognized by the CDC and/or WHO, inclusive of the two-week waiting period, is required  at the start of your employment.

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

Job Information

  • Job ID: 60227835
  • Location:
    Upton, New York, United States
  • Position Title: Amalie Emmy Noether Postdoctoral Fellow in Applied Mathematics and Scientific Computing
  • Company Name: Brookhaven National Laboratory
  • Job Function: Data Analysis,
    Data Science,
    Research
  • Job Type: Full-Time
  • Job Duration: 1-2 Years
  • Min Education: Ph.D.
  • Min Experience: 1-2 Years
  • Required Travel: 0-10%
  • Salary: $0.00 - $0.00 (Yearly Salary)

Please refer to the company's website or job descriptions to learn more about them.

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