#phdposition

There are two open Ph.D. positions fully funded in the Multiscale Modeling of Materials and Machine Learning (M4L) Laboratory at Villanova University. The positions start as early as Fall 2022. The successful applicants will work with Dr. David Cereceda on interdisciplinary research topics that involve Computational Mechanics, Multiscale Modeling of Materials and Machine Learning.

Two funded PhD positions available at Heriot-Watt University, Edinburgh, United Kingdom (www.hw.ac.uk). Details below and can be found on www.findaphd.com. Both positions are funded for 3 or 3.5 years, jointly supervised by the Tissue Mechanics Group (https://tissuemech.hw.ac.uk/) and Applied Optics and Photonics Group (https://www.aop.hw.ac.uk/) with clinical and industrial advisors.

The LaSIE Laboratory at La Rochelle University proposes a 6 months internship at master degree level starting from January 2022 which will lead to a Ph.D position starting in October 2022 supported by the French army (DGA AID).

Restriction: The applicant should be citizen from a European country or Swiss

ADMiRHE Project in partnership with UTEP (university of Texas, El Paso) and US army. 

6 PhD positions available within the RE-FRACTURE2 project:
1. Starting date: November 1, 2021
2. Where: Europe (Italy, Belgium, Serbia)
3. Description:

We have open Ph.D. positions in my group at the University of Houston (UH) this Fall or Spring 2022. The general area of research is the mechanics of material failure. Of particular interest, is understanding how microstructures influence damage and fracture processes in advanced materials including metals and polymers. We formulate theoretical frameworks to assess and predict material behaviors at different length-scales via computational modeling and simulations. We closely collaborate with experimental groups.

Context

As part of a Europeanproject between different industrial partners and Universities, the main objective of the doctoral position will be to develop methodologies in thecontext of data-driven stochastic multi-scale simulations.

PhD opportunity