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 CSIs 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

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)