R&D Leader - AI &Modeling @ Novelis Global R&D
Please contact raj.gopalaswamy [at] novelis.com if you think you have the scientific/technical combined with managerial experience.
Please contact raj.gopalaswamy [at] novelis.com if you think you have the scientific/technical combined with managerial experience.
In this course you will fully learn how to incorporate new materials informatics methods into your own material modeling, analysis and design processes in order to capitalize on recent AI breakthroughs, such as language models (e.g. GPT-3, BERT, LaMDA, etc.), DNA and protein models (e.g., AlphaFold), graph neural networks applied from molecular to macroscale structures, and a host of methods adapted for computer vision including diffusion models (as used in DALL-E 2 or Imagen), specifically for the analysis, design and modeling of materials. The course involves a mix of lectures, hands-on labs and clinics for an immersive experience. Participants will learn fundamentals and techniques to deploy machine learning in materials development and gain first-hand understanding of state-of-the art tools for varied applications ranging from data mining to inverse design. We will cover scales from the molecular to the continuum.
The Applied Mechanics Executive Committee (AMD-EC) is pleased to announce the 2022 IMECE student travel award competition, which is sponsored by the Haythornthwaite Foundation*.
This article addresses the interaction of two coaxial cylinders separated by a thin fluid layer. The cylinders are flexible, have a finite length, and are subject to a vibration mode of an Euler–Bernoulli beam. Assuming a narrow channel, an inviscid and linear theoretical approach is carried out, leading to a new simple and tractable analytical expression of the fluid forces.
Dr Yunlan Zhang has two funded PhD positions in structural engineering at the Department of Civil, Architectural and Environmental Engineering, focusing on mechanical metamaterials and advanced structures: computational modelling, additive manufacturing, and experimental testing. Students who are interested in developing innovative materials and structures are invited to apply to join my Lab.
It is my pleasure to solicit nominations for the "Eshelby Mechanics Award for Young Faculty". This award, launched in 2012, is given annually to rapidly emerging junior faculty who exemplify the creative use and development of mechanics. The intent of the award is to promote the field of mechanics, especially among young researchers. While interdisciplinary work that bridges mechanics with physics, chemistry, biology and other disciplines is encouraged, the ideal awardee will demonstrate clear inspiration from mechanics in his/her research.
We have several openings for a PhD positions. The successful candidate will conduct original research in the general area of biomechanics and fluid dynamics. They develop numerical methods to model coupled processes on high-performance computing platforms. This position is in the Gomez Research Group (https://engineering.purdue.edu/gomez/) in the Department of Mechanical Engineering at Purdue.
Applications
Dr. Wentao Yan's group at the Department of Mechanical Engineering, National University of Singapore (NUS), focuses on metal additive manufacturing: computational modeling, experimental investigation and data analytics. We have been extensively studying the process-structure-property relationships of additive manufacturing, and have made some interesting progresses (recently won 9 awards in 2022 NIST AM-Bench Simulation Challenge). More details about the group can be found in http://blog.nus.edu.sg/yanwt/
The Department of Applied Mathematics at Illinois Institute of Technology invites applications for a postdoctoral fellowship in computational mathematics. The appointment is for one year with the possibility of renewal for an additional year. Priority is given to applicants with research expertise and interest in computational mechanics, numerical methods and applications in materials, biology and data science.
There is a fully funded Phd position opening in my research group at Michigan Technological University. The position will start from Spring-2023.
The broad focus of the Phd research will be on computational mechanics. Specific studies will involve modeling and experiments on polymer composite materials. Knowledge of composite materials, fracture mechanics, and finite elements is preferred. Interested students are requested to email tsainATmtuDOTedu
To know about our research click here