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Postdoc – Interpretable Artificial Intelligenc ... (No replies)
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The recently established "Data-based Materials Modeling" group at the Department of Materials Science and Engineering at the Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) is looking for a postdoc on the topic "interpretable artificial intelligence".
The postdoc will perform cutting-edge methodological research in interpretable artificial intelligence, applied to active learning / experiment design. Tight collaboration with the experimental groups at the Materials Science and Engineering Department at FAU is envisaged.
The ideal candidate should have have a strong background in atomistic modeling, preferably at the ab initio level, and in machine-learning method development.
The position is initially for 1 year, extensible to 3 years. The starting date is April 2024.
In the application, besides the CV, please include a short concept (up to 1 page) on how to combine interpretable AI with active learning / experiment design.
The Department of Materials Science and Engineering offers a stimulating, interdisciplinary research environment within an enthusiastic and diverse team. FAU invites qualified female researchers to apply. Severely disabled applicants with equal aptitude will be given preferential consideration.
Contact details for the application can be found at the FAU Job website