job

There is an opening for a PhD student in the Department of Mechanical Engineering at Baylor University in Waco, TX, USA for Fall 2019 or Spring 2020 (negotiable). The position comes with 3 years of research assistantship with support that includes monthly stipend and tuition remission. The general area of interest is in composite materials including both polymeric and ceramic matrix composites. Scope of work includes composite manufacture, testing (environmental/high temperature), characterization and computational modeling.

Postdoctoral Fellow and Research Track Position Recruitment

Overview

The Masters of Science in Biomedical engineering (MSBE) is a research oriented degree program that is administered by the Department of Engineering in the College of Engineering and Technology. ECU MSBE is a two-year program with a minimum of 32 semester hours of coursework and thesis.

A PhD studentship is available in the Department of Mechanical Engineering at Kingston University London.

The work will be dedicated to the discrete element modeling of pellets' compaction in orodispersible tablets.

The project is in close collaboration with the Kingston University's Department of Pharmacy and also the University of Strathclyde. The student will have access to the high-performance computing facilities and also to the relevant facilities to obtain experimental data for validation of the developed numerical models.

We have one or more postdoc positions available, to be filled immediately, in my research group. We are looking for postdocs in the broad area of computational mechanics.  Candidates should have expertise in modeling dynamic responses of path-dependent materials. Our project is specifically focused on the development and validation of multiscale models for energetic/porous/polycrystalline materials across length scales. More details will be provided to interested candidates. 

A PhD Scholarship available in Nanyang Technological University, Singapore

Topic

Machine learning based approaches for modelling and numerical simulation of advanced materials

Preferred background

Bachelor and/or Master Degrees in Computer Science and/or Material Science.

Strong multidisciplinary background with interest and experience in:

Machine learning, Artificial intelligence, Deep learning;