A Postdoc position is available in the area of computational solid mechanics in the Department of Aerospace Engineering at Iowa State University. Interested qualified individuals who have research experience in computational solid mechanics please send an email to (Sheidaei [at] iastate.edu) with your most recent CV, research experience, a list of publications; and a list of references.
statrt date is Jan2021 or sooner.
J. Russ, V. Slesarenko, S. Rudykh, and H. Waisman, Rupture of 3D-printed hyperelastic composites: experiments and phase field fracture modeling. Journal of the Mechanics and Physics of Solids 140, 103941 (2020) [PDF]
Abstract:
You're invited to a webinar run by Synopsys Simpleware on April 22nd, where new trends in 3D image-based reverse engineering and medical additive manufacturing will be explored. The webinar will also look at a recent project with Nikon Metrology, Thornton Tomasetti, and 4WEB Medical.
You can find more information on how to join here
A postdoctoral position is available in Dr. Zheng Jia’s group in the Department of Engineering Mechanics at Zhejiang University, China.
Description
(1) Design, synthesis, and characterization of functional hydrogels;
(2) Supervision of graduate students.
Job requirements
(1) PhD degree in Mechanical/Material Science/Chemical Engineering or related fields;
Dear Colleagues,
Hope you and your loved ones are staying safe and well in this difficult time.
A postdoctoral associate position is available in Dr. Baoxing Xu’s group in the Department of Mechanical and Aerospace Engineering at the University of Virginia.
The successful candidate will work on a project related to nanomechanics and thermal transport of materials and functional structures and their coupling with applications in the design and manufacturing of electronic devices and structures.
Safer batteries, more efficient gas-turbine engines and solar cells, all require better-engineered nanocomposite materials. There is a limitation though -- how to investigate the fracture mechanics of these materials? Machine learning can help us overcome this limitation. Read more in our just-published paper: https://lnkd.in/e7dPBtx
