This PhD position is part of a 3 year project, sponsored by ROCKWOOL International A/S, where the goal is to develop a predictive model for mineral wool fibre material performance in contact with solutions, as a function of fibre and solution composition, pH and temperature. Such a model will contribute to understanding product stability under a range of conditions, including biosolubility. Molecular simulations will provide key parameters about fundamental surface processes that are not easily accessible from experiments.
The PhD student will use all-atom molecular simulations to predict the atomic-scale structure and properties of aluminosilicate glass surfaces, and their interfaces with aqueous solution, as a function of different conditions such as pH and solution composition. A bachelor or master degree in chemistry, chemical engineering, or materials science and/or engineering or similar quantitative discipline is essential, and experience or a strong interest in atomistic molecular simulation, and linux computing environments, is an advantage. Excellent communication skills, including a strong command of both written and verbal English, is an essential requirement – as a minimum, applicants must meet a IELTS level of 6.5 or more overall, with no individual score below 6. Funding for this PhD position will be provided for a maximum of 3.5 years.
The successful applicant will work as part of an international team, working in parallel and liaising closely with an overseas modelling team and experimental team (both based at the Technical University of Denmark, DTU). Personnel from the ROCKWOOL Group will be deeply involved in the project, with complementary experiments, general scientific discussions and monthly progress meetings. Each researcher will have her/his own challenges but will be tightly integrated into the team, who will work together to reach the goal. Publications and presentations at conferences are important aspects of the deliverables.
For more information, contact Professor Tiffany Walsh, [log in to unmask]
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