The Computing for National Security Group of the Computational Science Initiative (CSI) at Brookhaven National Laboratory (BNL) invites exceptional candidates to apply for a research specialist position in computer architecture, machine learning, and scientific computing. This position offers a unique opportunity to conduct research in emerging interdisciplinary research problems at the intersection of computer architecture, machine learning, and high-performance computing (HPC) with applications in diverse scientific domains of interest to BNL and the Department of Energy (DOE). Topics of specific interest include: (i) modeling and simulation of novel domain specific accelerators and/or memory technologies; (ii) data-driven/machine-learning-based modeling and simulation technologies and tools. The position includes access to world-class HPC resources. such as the BNL's Advanced Computing Laboratory and other computational resources, 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.

Essential Duties and Responsibilities:

• Design and carry out original research in modeling and simulation of novel domain specific accelerators and/or memory technologies for scientific computing and/or emerging device technologies.
• Research and implement new solutions for resilient computing in distributed, data-intensive workflows in use at leading DOE experimental facilities.
• Develop, implement, and utilize data-driven/machine-learning-based approaches for computer system modeling and simulation.
• Collaborate with scientists within and outside of Brookhaven National Laboratory.
• Develop research ideas into actionable research strategies and programs.
• Present research progress and outcome at internal meetings and external conferences/workshops.
• Publish research findings in peer-reviewed journals or conference proceedings.

Required Knowledge, Skills, and Abilities:

• Bachelor's degree in computer science, computer engineering or related field (i.e., electrical engineering, physics) and 8+ years related experience, or Master's degree in computer science, computer engineering or related field (i.e., electrical engineering, physics) and 6+ years related experience, or Doctorate in computer science, computer engineering or related field (i.e., electrical engineering, physics) and +2 years post-PhD related experience.
• Strong knowledge and experience in modeling and/or simulation of domain specific accelerators, memory technologies, GPUs, and/or CPUs.
• Excellent research skills (e.g., evidenced by publication records in related fields) and strong research self-motivation.
• Effective interpersonal, oral and written communication skills.
• The ability to work in a collaborative environment with researchers from different scientific disciplines.

Preferred Knowledge, Skills, and Abilities:

• Experience in machine learning.
• Experience in scientific computing or modeling.
• Experience in microprocessor or system design
• Excellent programming skills, including for parallel systems