University of Utah ยท 6 days ago
Post Doc Res Assoc
Salt Lake City, UT
Full-time
Hybrid
Mid, Senior Level
$60K/yr - $70K/yrThe University of Utah's Kahlert School of Computing is inviting applications for a post-doctoral researcher focused on interdisciplinary work in machine learning, applied mathematics, computer science, and material sciences. The successful candidate will perform research integrating machine learning techniques with finite element methods, collaborating closely with the Air Force Research Laboratory.
Higher Education
No H1B
U.S. Citizen Only
Responsibilities
Contribute to the development of a hybrid software framework for the finite element method and machine learning within the JAX Python library, including efficient implementations of classical numerical algorithms
Extend the hybrid FEA-ML framework to include nonlinear cohesive zone models with simple traction separation laws in a modular manner such that additional traction-separation laws can easily be incorporated in the future
Further extend the framework towards allowing discrete damage modeling via extended finite element methods, leveraging existing and actively developed libraries in AFRL related to crack growth
Employ the hybrid FEM-ML framework to demonstrate a machine-learned crack model based on rich experimental data, using material information below the resolution of the mesh and the stress field as predicted by an FEA solution as inputs and whether a crack should initiate or the direction that an existing crack should extend as outputs
Contribute to the hybrid FEA-ML framework in the JAX Python library to support the simulation of dry-fiber mechanics that incorporates the relevant physics and contact, as identified by AFRL through recent past efforts. This includes the implementation of relevant algorithms and solvers for distributed GPU computing within the JAX Python library
Qualification
Required
U.S. Citizenship is required
Demonstrated ability to work well with minimal supervision in a multi-disciplinary research environment
Backgrounds in the engineering sciences, applied mathematics, physics and computational sciences will be considered
Being self-motivated and having good organizational, communication, and teamwork skills is essential
Preferred
Individuals comfortable with machine learning, the JAX library, finite element methods, and/or high-performance computing are preferred
Material science knowledge/expertise is a bonus
Candidates interested in a long-term position with ARCTOS after the conclusion of this 1-year position
Company
University of Utah
The University of Utah, located in Salt Lake City in the foothills of the Wasatch Mountains, is the flagship institution of higher learning in Utah.
Founded in 1850
10001+ employees
Funding
Current Stage
Late StageLeadership Team
Allison Nicholson
Special Assistant to CFO
Bruce Hunter
Interim Chief Innovation and Economic Engagement Officer
Recent News
National Institutes of Health (NIH)
2023-06-27
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