Linköping University is seeking a PhD student in Generative AI and Machine Learning within the Division of Artifical Intelligence and Integrated Computer Systems.
Project description
We are looking for one PhD student working on generative AI/machine learning, with applications towards materials science. Generative machine learning models have emerged as a prominent approach to AI, with impressive performance in many application domains, including materials discovery. This development has a huge potential for societal impact, with applications in renewable energy, energy storage, electronics, medicine, sustainable manufacturing, etc.
The main focus for the advertised position is novel machine learning method development. However, you will be part of a larger cross-disciplinary research initiative involving both computer and material scientists, providing excellent opportunities for practical impact by taking the outputs from the developed machine learning models all the way to the materials discovery lab.
From the machine learning perspective, your research will be in the area of generative models, geometric machine learning, dynamical systems, and/or multi-modal learning. From the materials science perspective, our primary focus will be on ultra-thin, so-called, 2-dimensional materials. This class of materials has unique properties which make them promising candidates for next-generation electronic devices, energy storage systems, sensors, and catalysts. However, they also pose unique challenges from a machine learning perspective, calling for novel machine learning research that will push the boundaries beyond the current state-of-the-art.
