Last application date Aug 27, 2024 00:00
Contract Limited duration
Degree a master's degree in science or engineering, in the fields of physics, materials science, solid-state chemistry, physical chemistry, chemical physics, or related disciplines.
Occupancy rate 100%
Vacancy type Research staff
- At least 90% of your assignment will be spent on academic research in preparation of a doctoral dissertation
- You have an interest in computational research that contributes to the development of innovative steel types.
- You will apply ab initio modeling (density functional theory, DFT) and artificial intelligence (training and using machine learning potentials) to improve the the segregation of solute elements in an iron matrix, including the role of defects and grain boundaries therein.
- You communicate both with (experimental) researchers from the steel industry, an with (computational) researchers from the field of materials physics. You translate the needs and the information of both groups for each other.
- You have a basic master's level knowledge in at least two (and preferably more) of the following domains: ab initio modeling (DFT), artificial intelligence (e.g. Machine Learning Potentials) and steel development.
- You work systematically and meticulously, and you can communicate clearly about your work with (experimental) researchers in both academic and industrial contexts.
- You can relate to the global goals of this project: recreating existing steel grades, starting from sources that have a larger amount of recycled steel (scrap). This will increase the concentration of solute elements, and we want prevent this from affecting the properties of the steel.
Send an email to stefaan.cottenier@ugent.be with the subject 'NANOSMART application', that contains a single (!) pdf attachment with (1) your motivation letter, (2) your CV, (3) a transcript of academic records (inasfar as already available), (4) two contact addresses of potential referents, and (5) [very important] a link to a short video (maximum 3 minutes) in which you explain a scientific topic of your choice to a general audience in English. The content of this video is more important than the technique (=filming with a smartphone handheld is sufficient).
Ghent University is one of the top 100 universities in the Dutch language area, with more than 44,000 students and 15,000 staff members.
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