2017/18 PhD program at IMT School for Advanced Studies Lucca
2017/18 PhD program at IMT School for Advanced Studies Lucca
Deadline for applications – July 18th 2017, 12 pm (midday) Italian time
2017/18 PhD program at IMT School for Advanced Studies Lucca
Deadline for applications – July 18th 2017, 12 pm (midday) Italian time
PhD position – Inkjet printing and characterisation of electronic devices
The Dipartimento di Ingegneria dell'Informazione (DII) at the University of Pisa is involved in several areas of the field of Information Technology. Within the field of Nanoelectronics, the research activities of DII include the characterization and fabrication of micro and nano scale devices, to be exploited in a wide range of electronic applications (e.g., digital, Radio frequency, flexible, portable, etc.).
We are looking for a postdoctoral research fellow who has experience with developing and implementing computational algorithms for simulation and optimization in structural mechanics.
He or she will be involved in an interdisciplinary project for the development of a computational framework for the design of functional, smart, performance textiles. The objective is to develop and implement novel computational algorithms for a multi-scale and multi-physics simulation of functional textiles and fabrics, which will be at the core of a multifunctional design optimization framework. The position requires a deep understanding of structural mechanics concepts, as well as experience in algorithm development for computational simulation and optimization.
We are looking for a postdoctoral research fellow who has experience with developing and implementing computational algorithms for geometry processing.
He or she will be involved in the interdisciplinary development of an enhanced computational design, optimization, and fabrication framework for functional textiles. The objective is to develop and implement novel computational algorithms for the physical realization of complex three dimensional (3D) technical textile designs using state-of-the-art CNC knitting technology.
The position requires expertise in computational geometry and software development. The candidate must be passionate about interdisciplinary, cutting-edge research and have good communicative skills.
We are looking for a research assistant who is interested in developing and implementing computational algorithms for simulation and optimization in structural mechanics applications.
Our current research lies broadly in the field of computational mechanics and includes the development and implementation of novel computational methods for the discretization of ordinary and partial differential equations arising in structural and continuum mechanics (such as finite element methods and isogeometric analysis), multi-disciplinary design, shape and topology optimization methods, as well as application of those methods in digital design and additive manufacturing, e.g. 3D/4D printing, lattice structures, metamaterials, composites or textiles, and integration into computer-aided design-to-manufacturing approaches.
Dear all,
Our group has recently published a paper on the kinetics of moisture transport in concrete repair systems. It can be found at: https://www.researchgate.net/publication/316876839_Moisture_movement_in…
The abstract is given below:
Hi Everyone,
I am trying to understand what does "Brittle failure in infinite domain" means. Let me explain more:
There is one open Ph.D. student position with financial support (both tuition and stipend) in the Department of Mechanical Engineering at Villanova University. The successful applicant will work with Dr. David Cereceda in the Multiscale Modeling and Machine Learning (M3L) Laboratory on interdisciplinary research topics that involve Computational Mechanics, Multiscale Modeling of Materials and Machine Learning.
A postdoctoral position in the UIUC research group of Prof. Harley Johnson is available immediately. The project, in collaboration with Prof. Shaoxing Qu of Zhejiang University, will involve modeling of coupled mechanical and optical behavior of 2D materials. Candidates should have experience with empirical and first-principles atomistic modeling. The position will start no later than July 31st, 2017, for a one-year duration, and may be renewable depending on progress and availability of funds.
The Adaptive Intelligent Materials and Systems Center (AIMS) at Arizona State University is looking for PhD and Postdoctoral candidates to work in the areas of systems health monitoring and prognosis. The research will be conducted under the supervision of Professor Aditi Chattopadhyay. The candidate should have expertise in at least one of the following desired skills:
Structural health monitoring of aerospace components
Statistical modeling and pattern recognition
Machine learning