SULI - SULI - Venkatesh, Rajiv - 2.27.26.

Argonne National Laboratory • Lemont, IL

18h

About The Position

Simulations of physical phenomena (e.g., molecular self-assembly, nucleation, etc.) take up over 45-60% of computer time on existing supercomputing resources. Currently, scaling of simulation software is monolithic, achieved through hardware optimization and/or algorithmic innovations exploiting parallel and distributed computing techniques. However, accelerating simulations on hybrid Exascale architectures will be extremely challenging because: (i) not all underlying computations are suitable for efficient scaling and (ii) simulations must be tailored to exploit available parallelism. To overcome these challenges, we propose a novel data-driven framework to accelerate simulations by interleaving simulations (forward) with analytics (backward) approaches. Our strategy leverages structured probabilistic models (SPM) and Bayesian inference to summarize simulations online and simultaneously builds a long-term propagation and estimation framework that will: (i) improve computational throughput and reduce time-to-solution and (ii) simultaneously keep track of model uncertainties when some physical parameters are unobserved or not known a priori. Education and Experience Requirements The entirety of the appointment must be conducted within the United States. Applicants must be: o Currently enrolled in undergraduate or graduate studies at an accredited institution. o Graduated from an accredited institution within the past 3 months; or o Actively enrolled in a graduate program at an accredited institution. Must be 18 years or older at the time the appointment begins. Must possess a cumulative GPA of 3.0 on a 4.0 scale. Must be a U.S. citizen or Legal Permanent Resident at the time of application. If accepting an offer, candidates may be required to complete pre-employment drug testing based on appointment length. All students remain subject to applicable drug testing policies.

Requirements

• The entirety of the appointment must be conducted within the United States.
• Currently enrolled in undergraduate or graduate studies at an accredited institution.
• Graduated from an accredited institution within the past 3 months; or
• Actively enrolled in a graduate program at an accredited institution.
• Must be 18 years or older at the time the appointment begins.
• Must possess a cumulative GPA of 3.0 on a 4.0 scale.
• Must be a U.S. citizen or Legal Permanent Resident at the time of application.

What This Job Offers

• Job Type: Full-time
• Career Level: Intern
• Education Level: No Education Listed