Linköping University seeks up to two PhD students to work on generative AI/machine learning, with a focus on materials science.
Position description
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 positions 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.
Research environment
Linköping University is one of the leading AI institutions in Sweden. We have strong links to prominent national research initiatives, such as WASP and ELLIIT and you will have access to state-of-the-art computing infrastructure for machine learning, e.g. through Berzelius. Linköping University will also host a European AI Factory, as one of the seven sites across Europe selected in the first batch.
The advertised positions are part of the Wallenberg AI, Autonomous Systems and Software Program (WASP), Sweden’s largest individual research program ever, a major national initiative for strategically motivated basic research, education and faculty recruitment.
The graduate school within WASP is dedicated to providing the skills needed to analyze, develop, and contribute to the interdisciplinary area of artificial intelligence, autonomous systems and software.
Specifically, the positions are part of a cross-disciplinary, so called, WASP-WISE NEST project. One position will be with the Division of Statistics and Machine Learning (co-PI: Prof Fredrik Lindsten) and one position will be with the Division of Artificial Intelligence and Integrated Computer Systems (co-PI: Prof Fredrik Heintz). Read more about the project and your workplace here: https://stima.gitlab-pages.liu.se/wasp-wise-phd/
