A fully funded PhD position is now available in Dr. Zhengwei Li’s research group in the Department of Biomedical Engineering at the University of Houston (UH), with a start date in Spring 2026 or Fall 2026. The position will focus on the mechanics of soft biointegrated and biohybrid systems, including wireless bioelectronics, soft implantable devices, and bioengineered living systems.
A fully supported PhD position on Machine Learning for Scientific Computing is available in the Department of Mechanical and Aerospace Engineering at Rutgers University. The successful applicant will work under the supervision of Dr. George Moutsanidis and the desired start date is January 2026 or September 2026.
Dear Colleagues,
We (Christian Franck (University of Wisconsin-Madison), Xueju "Sophie" Wang (University of Connecticut), and Ruobing Bai (Northeastern University)) are organizing a special issue for Experimental Mechanics (Editor-in-Chief: Junlan Wang) on Mechanics of Soft and Living Matter. We would like to invite you to contribute to this themed issue.
Authors: Abhishek Arora, Caglar Oskay
We are seeking a highly motivated postdoctoral fellow with an interest in the high-pressure and high-strain-rate behavior of geomaterials (e.g., sandstones) and concrete. The successful candidate will be appointed as a Postdoctoral Fellows in the Hopkins Extreme Materials Institute (HEMI) at Johns Hopkins University. A portion of the successful candidate’s work will be associated with the Materials Science in Extreme Environments University Research Alliance (MSEE URA).
The Mechanical and Aerospace Engineering Department of the Cullen College of Engineering at the University of Houston invites applications for the Panos Family Endowed Chair position at the rank of Full Professor. The Panos Family Chair Professorship has been established from a $4.5 million gift from the Thomas Michael Panos Family Estate and a $2 million matching from the University’s $100 million Challenge Aspire Fund.
Machine Learning for Materials Informatics
Instructor: Prof. Markus J Buehler, mbuehler [at] MIT.EDU (mbuehler[at]MIT[dot]EDU)
Jul 28 - Jul 31, 2025 (3.5 days)
Learn more here: https://professional.mit.edu/course-catalog/machine-learning-materials-informatics (link to sign-up there)
Dear Colleagues
I have been playing with a very good student from Berlin with the idea that a temperature gradient along the depth of the tire could help reduce wear significantly. We all know that there is an optimal range of temperature for friction and wear --- much less known is an optimal "temperature gradient". I hope you find this study a good starting point on this idea. Maybe somebody wants to explore how to patent it!
https://lnkd.in/d5nibSYN
Mike
It is known that the balance laws of hyperelasticity (Green elasticity), i.e., conservation of mass and balance of linear and angular momenta, can be derived using the first law of thermodynamics and by postulating its invariance under superposed rigid body motions of the Euclidean ambient space---the Green-Naghdi-Rivlin theorem. In the case of a non-Euclidean ambient space, covariance of the energy balance---its invariance under arbitrary time-dependent diffeomorphisms of the ambient space---gives all the balance laws and the Doyle-Ericksen formula---the Marsden-Hughes theorem.
In this article, we are introducing a new analysis tool to identify material constants of viscoelastic problems.
