SULI– MCS – Smith, Stefan – 3.9.26

Argonne National Laboratory • Lemont, IL

10d

About The Position

We shall investigate using constrained low rank approximations (CLRA) for accelerating applications related to Bayesian inverse problems. These main thrusts are: Using column subset selection methods for optimal experimental design. Reduced order modelling and compression using the star-M tensor approximation framework. Parallel algorithms for scaling up the above proof-of-concept works.

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.
• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Intern
• Education Level: No Education Listed
• Number of Employees: 1,001-5,000 employees