Blog posts

We are seeking to appoint an enthusiastic and talented Academic Associate to contribute to research and teaching in the Department of Engineering at Nottingham Trent University. Most of the teaching will be in the format of seminars, laboratory classes and tutorials. The academic associate post is part-time (0.5 FTE) and in addition, you will be required to register for a PhD part-time for the duration of the 5-year post.

PhD Title: 3D Printing of Smart Shape Memory Materials for Advanced Sensors and Actuators

Director of Studies: Dr. Mahdi Bodaghi

One of our studies on linear and nonlinear non-Hermitian metamaterials has been published on the recent special issue of the Journal of the Acoustical Society of America: Non-Reciprocal and Topological Wave Phenomena in Acoustics.

Abstract

A postdoctoral position is available as early as Fall 2019 at the Faculty of Aerospace Engineering, Technion - Israel Institute of Technology.

Candidates holding a Ph.D. in Mechanical Engineering, Aerospace Engineering, Civil Engineering, or related field with a strong interest in mechanics of 3D-printable polymer composites and architectured materials are encouraged to apply.

Dear colleagues,

We would like to invite you to participate at the International Symposium on Leading Edge Erosion of Wind Turbine Blades, which will take place February 4-6, 2020, in the Niels Bohr Auditorium, DTU Risø Campus, Roskilde, Denmark.

Context
As part of a collaborative project between different Belgian industrial partners and Universities related to the study of composite laminate under impacts, the main objective of the doctoral position will be to develop a multi-scale numerical framework to study failure of the synthesized materials.

Context
As part of a collaborative FET-Open H2020 project between different universities and a SME, there exist open PhD and Post-Doc positions is the context of
• Experimental characterisation of SLS printed structures;
• Models development of SLS process and constitutive behaviours;
• Developments of homogenisation methods and surrogate models (e.g. machine learning etc.)

Data-driven system identification procedures have recently enabled the reconstruction of governing differential equations from vibration signal recordings. In this contribution, the sparse identification of nonlinear dynamics is applied to structural dynamics of a geometrically nonlinear system. First, the methodology is validated against the forced Duffing oscillator to evaluate its robustness against noise and limited data.