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Dear All,

Applications are invited for a PhD studentship on inverse Finite Element Method (iFEM) at the University of Strathclyde under the supervision of Dr Selda Oterkus and Dr Erkan Oterkus for UK/EU students. If you are interested, please send an e-mail to  selda.oterkus [at] strath.ac.uk (selda[dot]oterkus[at]strath[dot]ac[dot]uk) . 

Best Regards,

Erkan

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.

EMI 2018, the 2018 conference of the Engineering Mechanics Institute of ASCE will be held on May 29-June 1, 2018 at M.I.T. in Cambridge, Massachusetts.  The conference is organized by the Massachusetts Institute of Technology and the University of Massachusetts Dartmouth. 

We are looking for a highly motivated research scientist to work in the area of applied mechanics and materials at A*STAR Institute of High Performance Computing (IHPC) in Singapore. The topic is on soft active materials and soft robots. You are expected to work on theoretical modeling and numerical implementation of finite element procedures. 

For furhter information, I also attached the pdf file.

The Finite Difference (FD) and the Spectral Boundary Integral (SBI) methods have been used extensively to model spontaneously propagating shear cracks in a variety of engineering and geophysical applications. In this paper, we propose a new modeling approach, in which these two methods are combined through consistent exchange of boundary tractions and displacements. Benefiting from the flexibility of FD and the efficiency of spectral boundary integral methods, the proposed hybrid scheme will solve a wide range of problems in a computationally efficient way.