Job announcements relevant to people interested in electronic structure calculations…
Due to the large number of posts recently, there is currently a delay of several weeks between posts being submitted and the corresponding emails being distributed to all users. Please bear with us while we try to improve this. In the meantime – and until this notice is removed – it would assist us considerably if you could submit only important and/or urgent posts and thus help to reduce the size of the mail queue. Under no circumstances should you resend posts multiple times when you find the emails are not distributed immediately.
In light of the Russian military offensive in Ukraine, we request that announcements relating to events, jobs and other activities associated with institutions supported by the Russian and Belarusian states are not posted to the Psi-k forum.
PhD Positions: Ab Initio Modelling, AI and Elect ... (No replies)
Back to Job listings...
We are seeking two highly motivated PhD students to join two research projects at the intersection of ab initio modeling, artificial intelligence, electron microscopy, and steel research.
The first project focuses on utilizing ab initio modeling (density functional theory) and artificial intelligence (training and utilizing machine learning potentials) to enhance our understanding of binary and ternary phase diagrams, with iron as the main element. These phase diagrams will play a critical role in the design process of new steel grades, which are essential for advancing the electrification of our society's energy use. The ideal candidate for this project should possess a background in solid-state physics and/or chemistry, with a keen interest in atomic scale modeling. While prior experience with density functional theory and/or machine learning potentials is advantageous, it is not mandatory.
The second project aims to enhance the information extracted from electron microscopy images of steel. Different microscopy techniques offer varying levels of detail at different costs. Typically, higher detail comes with increased costs in terms of time and resources. In this project, we will explore the application of artificial intelligence techniques to derive the maximum amount of information from low-cost images. Keywords are image classification, image interpretation and image generation. The ideal candidate for this project should have a solid programming background, preferably with knowledge of artificial intelligence techniques and database tools. An interest in electron microscopy and/or steel is a nice-to-have.
The selected PhD students will have the opportunity to work at the crossroads of the Metal Science and Technology group (UGent), the Center for Molecular Modeling (UGent), and the steel research company OCAS. Both positions offer full funding, and the starting date is September 1, or up to two months thereafter.
For more detailed information about the content of the projects, please contact Stefaan Cottenier at [email protected]. To apply, please follow the instructions available at https://bit.ly/phdugent (applications will only be accepted through this site). The selection process will commence on June 15 and continue until the positions are filled.