Rutgers University
Location
New Brunswick, NJ | United States
Job description
Position Summary:
The microMechanics of Deformation (mMOD) group at Rutgers University is seeking a postdoctoral researcher with interest and background in mechanics of materials, finite element methods, and machine learning. The research to be performed under this 1-year position is aimed at constructing neural-network-based surrogate models using a new finite-element-based technique developed at Rutgers. Under this position, the major contributions to this effort will be: (1) extension of the method to nonlinear problems, (2) training neural networks for various nonlinear problems of relevance to industry, and (3) optimizing neural network codes for performance.
In addition to performing research, the postdoc will provide leadership and mentorship within the PI's research group, engage with potential industrial partners, and support research ideation and proposal development in collaboration with the PI. This is a research position which will require critical thinking about abstract and advanced topics in science, engineering, and mathematics.
Job Duties -80 %1. Execution of research tasks, including: algorithm and code development, construction and training of neural networks, development and execution of simulations using high-performance computing, analysis of simulation results, manuscript preparation, and presentation of results at technical conferences and workshops.
10 %2. Leadership and mentorship within the research group, including: providing support and guidance to undergraduate and graduate students, assisting with troubleshooting of simulations and analysis, and brainstorming research ideas and concepts with other group members.
10 % 3. Support of research ideation, including: surveying and analyzing scientific literature, performing preliminary studies and evaluations of research ideas, engagement with potential industrial partners, and support in white paper and proposal preparation.
Minimum Education and Experience:
Knowledge of mechanics of materials and the finite element method is required.
Equipment Utilized:
Experience with programming in an interpreted language (e.g., Python or MATLAB ) is required. Experience with programming in a low-level language (e.g., C++) is preferred.
Physical Demands and Work Environment:
Experience with materials modeling using techniques such as molecular dynamics, density functional theory, phase field, or similar is preferred. Experience with machine learning (e.g., PyTorch) and high-performance computing is preferred.
Posting Number: 24FA0247
About Rutgers University
Rutgers, The State University of New Jersey, is a leading national public research university and the state's preeminent, comprehensive public institution of higher education. Rutgers is dedicated to teaching that meets the highest standards of excellence; to conducting research that breaks new ground; and to turning knowledge into solutions for local, national, and global communities. As it was at our founding in 1766, the heart of our mission is preparing students to become productive members of society and good citizens of the world. Rutgers teaches across the full educational spectrum: preschool to precollege; undergraduate to graduate and postdoctoral; and continuing education for professional and personal advancement. Rutgers is New Jersey's land-grant institution and one of the nation's foremost research universities, and as such, we educate, make discoveries, serve as an engine of economic growth, and generate ideas for improving people's lives.
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